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sliding mode controller matlab simulink: Advanced Sliding Mode Control for Mechanical Systems Jinkun Liu, Xinhua Wang, 2012-09-07 Advanced Sliding Mode Control for Mechanical Systems: Design, Analysis and MATLAB Simulation takes readers through the basic concepts, covering the most recent research in sliding mode control. The book is written from the perspective of practical engineering and examines numerous classical sliding mode controllers, including continuous time sliding mode control, discrete time sliding mode control, fuzzy sliding mode control, neural sliding mode control, backstepping sliding mode control, dynamic sliding mode control, sliding mode control based on observer, terminal sliding mode control, sliding mode control for robot manipulators, and sliding mode control for aircraft. This book is intended for engineers and researchers working in the field of control. Dr. Jinkun Liu works at Beijing University of Aeronautics and Astronautics and Dr. Xinhua Wang works at the National University of Singapore. |
sliding mode controller matlab simulink: Methods of Developing Sliding Mode Controllers Reihaneh Kardehi Moghaddam, Mostafa Rabbani, 2025-01-03 Comprehensive, fast-access guide to different types of sliding mode controllers and their programming and simulation in MATLAB and Simulink Methods of Developing Sliding Mode Controllers delivers a practical review of sliding mode controllers (SMCs) and their challenges with coverage of related theorems, stability analysis, and how to program and simulate SMCs in MATLAB and Simulink. The book details the latest methods of their development and their applications in the automotive, aerospace, and robotics industries. Initial chapters detail a range of different types of controllers. A combination of sliding and backstepping control is introduced and simulated and the phenomenon of chattering and effective solutions to reduce it are provided, along with suitable examples and analytical tables of the results. The final two chapters are related to fixed-time and event-triggered SMCs. Extensive Matlab/Simulink supported examples and simulation program code/block diagrams are included throughout. Methods of Developing Sliding Mode Controllers: Design and Matlab Simulation explores sample topics including: Classic SMCs, covering variable structures, including relays and feedback control with switching gains, as well as controller design and theoretical foundations Terminal SMCs, covering nonsingular and fast variations, dynamic SMCs, and fuzzy SMCs, covering fuzzy approximation and equivalent control as well as indirect design Super twisting SMCs, adaptive SMCs, and backstepping SMCs, covering the backstepping method and chaotic duffing oscillator equations Sign, Epsilon-sign, saturation, hyperbolic tangent, and generalized hyperbolic tangent functions for chatter reduction Methods of Developing Sliding Mode Controllers: Design and Matlab Simulation is a concise yet comprehensive and highly practical reference on the subject for graduate/postgraduate students in electrical engineering, mechanical engineering, and biomedical engineering along with academics and professionals in fields related to SMCs. |
sliding mode controller matlab simulink: Advances and Applications in Sliding Mode Control systems Ahmad Taher Azar, Quanmin Zhu, 2014-11-01 This book describes the advances and applications in Sliding mode control (SMC) which is widely used as a powerful method to tackle uncertain nonlinear systems. The book is organized into 21 chapters which have been organised by the editors to reflect the various themes of sliding mode control. The book provides the reader with a broad range of material from first principles up to the current state of the art in the area of SMC and observation presented in a clear, matter-of-fact style. As such it is appropriate for graduate students with a basic knowledge of classical control theory and some knowledge of state-space methods and nonlinear systems. The resulting design procedures are emphasized using Matlab/Simulink software. |
sliding mode controller matlab simulink: Sliding Mode Control Using MATLAB Jinkun Liu, 2017-05-25 Sliding Mode Control Using MATLAB provides many sliding mode controller design examples, along with simulation examples and MATLAB® programs. Following the review of sliding mode control, the book includes sliding mode control for continuous systems, robust adaptive sliding mode control, sliding mode control for underactuated systems, backstepping, and dynamic surface sliding mode control, sliding mode control based on filter and observer, sliding mode control for discrete systems, fuzzy sliding mode control, neural network sliding mode control, and sliding mode control for robot manipulators. The contents of each chapter are independent, providing readers with information they can use for their own needs. It is suitable for the readers who work on mechanical and electronic engineering, electrical automation engineering, etc., and can also be used as a teaching reference for universities. - Provides many sliding mode controller design examples to help readers solve their research and design problems - Includes various, implementable, robust sliding mode control design solutions from engineering applications - Provides the simulation examples and MATLAB programs for each sliding mode control algorithm |
sliding mode controller matlab simulink: Sliding-Mode Fuzzy Controllers Mojtaba Ahmadieh Khanesar, Okyay Kaynak, Erdal Kayacan, 2021-07-21 This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability. Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers. The main features of this book include: • a review of various existing structures of sliding-mode fuzzy control; • a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis; • state-of-the-art procedures for the design of a sliding-mode fuzzy controller; • source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers; • a short bibliography for each chapter for readers interested in learning more on a particular subject; and • illustrative examples and simulation results to support the main claims made in the text. Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones. |
sliding mode controller matlab simulink: Discrete-time Sliding Mode Control B. Bandyopadhyay, S. Janardhanan, 2005-11-03 Sliding mode control is a simple and yet robust control technique, where the system states are made to confine to a selected subset. With the increasing use of computers and discrete-time samplers in controller implementation in the recent past, discrete-time systems and computer based control have become important topics. This monograph presents an output feedback sliding mode control philosophy which can be applied to almost all controllable and observable systems, while at the same time being simple enough as not to tax the computer too much. It is shown that the solution can be found in the synergy of the multirate output sampling concept and the concept of discrete-time sliding mode control. |
sliding mode controller matlab simulink: Advances in Intelligent Systems Francesco Carlo Morabito, 1997 Intelligent Systems can be defined as systems whose design, mainly based on computational techniques, is supported, in some parts, by operations and processing skills inspired by human reasoning and behaviour. Intelligent Systems must typically operate in a scenario in which non-linearities are the rule and not as a disturbing effect to be corrected. Finally, Intelligent Systems also have to incorporate advanced sensory technology in order to simplify man-machine interactions. Several algorithms are currently the ordinary tools of Intelligent Systems. This book contains a selection of contributions regarding Intelligent Systems by experts in diverse fields. Topics discussed in the book are: Applications of Intelligent Systems in Modelling and Prediction of Environmental Changes, Cellular Neural Networks for NonLinear Filtering, NNs for Signal Processing, Image Processing, Transportation Intelligent Systems, Intelligent Techniques in Power Electronics, Applications in Medicine and Surgery, Hardware Implementation and Learning of NNs. |
sliding mode controller matlab simulink: 2021 Asian Conference on Innovation in Technology (ASIANCON) IEEE Staff, 2021-08-27 Power, Energy and Power Electronics (PEPE) Signal and Image Processing (SIP) Communication Systems (CS) Computational Intelligence (CI) Computing Technologies (CT) Devices, Materials and Processing (DMP) Industry 4 0 Applications Biomedical Devices & Application (BDA) Internet of Things (Big) Data Analytics Machine Learning Deep Learning Cloud Computing Artificial Intelligence Learning Technologies Web Based Computing Embedded & VLSI (EVL) |
sliding mode controller matlab simulink: Control Systems Design 2003 (CSD '03) Stefan Kozak, Mikulas Huba, 2004-04 The material presented in this volume represents current ideas, knowledge, experience and research results in various fields of control system design. |
sliding mode controller matlab simulink: Sliding Mode Control and Observation Yuri Shtessel, Christopher Edwards, Leonid Fridman, Arie Levant, 2013-06-01 The sliding mode control methodology has proven effective in dealing with complex dynamical systems affected by disturbances, uncertainties and unmodeled dynamics. Robust control technology based on this methodology has been applied to many real-world problems, especially in the areas of aerospace control, electric power systems, electromechanical systems, and robotics. Sliding Mode Control and Observation represents the first textbook that starts with classical sliding mode control techniques and progresses toward newly developed higher-order sliding mode control and observation algorithms and their applications. The present volume addresses a range of sliding mode control issues, including: *Conventional sliding mode controller and observer design *Second-order sliding mode controllers and differentiators *Frequency domain analysis of conventional and second-order sliding mode controllers *Higher-order sliding mode controllers and differentiators *Higher-order sliding mode observers *Sliding mode disturbance observer based control *Numerous applications, including reusable launch vehicle and satellite formation control, blood glucose regulation, and car steering control are used as case studies Sliding Mode Control and Observation is aimed at graduate students with a basic knowledge of classical control theory and some knowledge of state-space methods and nonlinear systems, while being of interest to a wider audience of graduate students in electrical/mechanical/aerospace engineering and applied mathematics, as well as researchers in electrical, computer, chemical, civil, mechanical, aeronautical, and industrial engineering, applied mathematicians, control engineers, and physicists. Sliding Mode Control and Observation provides the necessary tools for graduate students, researchers and engineers to robustly control complex and uncertain nonlinear dynamical systems. Exercises provided at the end of each chapter make this an ideal text for an advanced course taught in control theory. |
sliding mode controller matlab simulink: Proceedings of 2019 Chinese Intelligent Systems Conference Yingmin Jia, Junping Du, Weicun Zhang, 2019-09-07 This book showcases new theoretical findings and techniques in the field of intelligent systems and control. It presents in-depth studies on a number of major topics, including: Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control, Guidance, Navigation and Control of Aerial Vehicles, and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence. |
sliding mode controller matlab simulink: Communication and Control for Robotic Systems Jason Gu, Rajeeb Dey, Nabanita Adhikary, 2021-08-02 This book is a collection of high-quality research articles. The book includes topics specific to the emerging areas of control for robotic systems, wireless communication, and development of embedded systems for robotic applications. The book integrates three important aspects of automation, namely (i) communication, (ii) control, and (iii) embedded design for robotic applications. This book is unique as it provides a unified framework for analysis, design, and deployment of the robotic applications across various engineering and non-engineering disciplines including the three primary aspects mentioned above. Furthermore, the emerging research and development work pertaining to the deployment of intelligent, nonlinear, and embedded control for robotic system for non-standard operating environment due to the widespread application of robotics technology for societal benefit is also a focal point of the book. |
sliding mode controller matlab simulink: Vehicle Dynamics Estimation using Kalman Filtering Moustapha Doumiati, Ali Charara, Alessandro Victorino, Daniel Lechner, 2012-12-14 Vehicle dynamics and stability have been of considerable interest for a number of years. The obvious dilemma is that people naturally desire to drive faster and faster yet expect their vehicles to be “infinitely” stable and safe during all normal and emergency maneuvers. For the most part, people pay little attention to the limited handling potential of their vehicles until some unusual behavior is observed that often results in accidents and even fatalities. This book presents several model-based estimation methods which involve information from current potential-integrable sensors. Improving vehicle control and stabilization is possible when vehicle dynamic variables are known. The fundamental problem is that some essential variables related to tire/road friction are difficult to measure because of technical and economical reasons. Therefore, these data must be estimated. It is against this background, that this book’s objective is to develop estimators in order to estimate the vehicle’s load transfer, the sideslip angle, and the vertical and lateral tire/road forces using a roll model. The proposed estimation processes are based on the state observer (Kalman filtering) theory and the dynamic response of a vehicle instrumented with standard sensors. These estimators are able to work in real time in normal and critical driving situations. Performances are tested using an experimental car in real driving situations. This is exactly the focus of this book, providing students, technicians and engineers from the automobile field with a theoretical basis and some practical algorithms useful for estimating vehicle dynamics in real-time during vehicle motion. |
sliding mode controller matlab simulink: Innovative and Intelligent Technology-Based Services For Smart Environments - Smart Sensing and Artificial Intelligence Sami Ben Slama, Fethi Choubani, Cesar Benavente-Peces, Afef Abdelkarim, 2021-06-28 This book contains a collection of high-quality papers describing the results of relevant investigations and cutting-edge technologies, aimed at improving key aspects of real life, including major challenges such as the development of smart cities, smart buildings, smart grids, and the reduction of the impact of human activities on the environment. Sustainability requires the use of green technologies and techniques and good practices. Artificial intelligence seems to be an appropriate approach to optimize the use of resources. The main focus of this book is the dissemination of novel and innovative technologies, techniques and applications of artificial intelligence, computing and information and communications technologies, and new digital services such as digital marketing, smart tourism, smart agriculture, green and renewable energy sources. Besides, this book focuses on nurturing energy trends including renewable energies, smart grids, human activity impact, communication, behaviour, and social development, and quality of life improvement fields based on the innovative use of sensors, big data and the Internet of things (IoT), telecommunications and machine learning. |
sliding mode controller matlab simulink: Intelligent Computing in Engineering Vijender Kumar Solanki, Manh Kha Hoang, Zhonghyu (Joan) Lu, Prasant Kumar Pattnaik, 2020-04-09 This book comprises select papers from the international conference on Research in Intelligent and Computing in Engineering (RICE 2019) held at Hanoi University of Industry, Hanoi, Vietnam. The volume focuses on current research on various computing models such as centralized, distributed, cluster, grid and cloud. The contents cover recent advances in wireless sensor networks, mobile ad hoc networks, internet of things, machine learning, grid and cloud computing, and their various applications. The book will help researchers as well as professionals to gain insight into the rapidly evolving fields of internet computing and data mining. |
sliding mode controller matlab simulink: Power Converter of Electric Machines, Renewable Energy Systems, and Transportation Adolfo Dannier, Gianluca Brando, Marino Coppola, 2021-09-02 Power converters and electric machines represent essential components in all fields of electrical engineering. In fact, we are heading towards a future where energy will be more and more electrical: electrical vehicles, electrical motors, renewables, storage systems are now widespread. The ongoing energy transition poses new challenges for interfacing and integrating different power systems. The constraints of space, weight, reliability, performance, and autonomy for the electric system have increased the attention of scientific research in order to find more and more appropriate technological solutions. In this context, power converters and electric machines assume a key role in enabling higher performance of electrical power conversion. Consequently, the design and control of power converters and electric machines shall be developed accordingly to the requirements of the specific application, thus leading to more specialized solutions, with the aim of enhancing the reliability, fault tolerance, and flexibility of the next generation power systems. |
sliding mode controller matlab simulink: 2018 International Conference on Applied Smart Systems (ICASS) IEEE Staff, 2018-11-24 The conference will provide a platform for researchers, experts, practitioners, industrials, academics, from over the world to congregate and share their findings, ideas, scientific knowledge and new techniques applications about latest developments in their respective domain related to the theory and practice of smart systems and technologies |
sliding mode controller matlab simulink: Advances in Dynamics of Vehicles on Roads and Tracks III Wei Huang, Mehdi Ahmadian, 2024-10-31 This book offers a timely snapshot of research and development in rail vehicle dynamics. Gathering a set of peer-reviewed contributions to the 28th Symposium of the International Association of Vehicle System Dynamics (IAVSD), which was held on August 21–25, 2023 in Ottawa, Canada, this first volume of the proceedings covers a broad range of topics relating to rail vehicles. Topics covered include modelling and simulation as well as design, control, and monitoring of rail vehicles and strategies to improve safety, performance, and ride comfort, among others. Overall, this book provides academics and professionals with a timely reference on state-of-the-art theories and methods that can be used to understand, analyze, and improve rail vehicle safety and performance in a wide range of operating conditions. |
sliding mode controller matlab simulink: The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering Weiming Ma, Mingzhe Rong, Fei Yang, Wenfeng Liu, Shuhong Wang, Gengfeng Li, 2021-04-21 This book includes the original, peer-reviewed research papers from the 9th Frontier Academic Forum of Electrical Engineering (FAFEE 2020), held in Xi’an, China, in August 2020. It gathers the latest research, innovations, and applications in the fields of Electrical Engineering. The topics it covers including electrical materials and equipment, electrical energy storage and device, power electronics and drives, new energy electric power system equipment, IntelliSense and intelligent equipment, biological electromagnetism and its applications, and insulation and discharge computation for power equipment. Given its scope, the book benefits all researchers, engineers, and graduate students who want to learn about cutting-edge advances in Electrical Engineering. |
sliding mode controller matlab simulink: Advances in Engineering Research and Application Duy Cuong Nguyen, Ngoc Pi Vu, Banh Tien Long, Horst Puta, Kai-Uwe Sattler, 2022-12-01 The International Conference on Engineering Research and Applications (ICERA 2022), held on December 1-2, 2022, at Thai Nguyen University of Technology in Thai Nguyen, Vietnam, provided an international forum to disseminate information on latest theories and practices in engineering research and applications. The conference focused on original research work in areas including mechanical engineering, materials and mechanics of materials, mechatronics and micro mechatronics, automotive engineering, electrical and electronics engineering, information and communication technology. By disseminating the latest advances in the field, the Proceedings of ICERA 2022, Advances in Engineering Research and Application, assists academics and professionals alike to reshape their thinking on sustainable development. |
sliding mode controller matlab simulink: Multilevel Converters Salman Ahmad, Farhad Ilahi Bakhsh, P. Sanjeevikumar, 2024-07-03 Discover the deep insights into the operation, modulation, and control strategies of multilevel converters, alongside their recent applications in variable speed drives, renewable energy generation, and power systems. Multilevel converters have gained attention in recent years for medium/high voltage and high power industrial and residential applications. The main advantages of multilevel converters over two level converters include less voltage stress on power semiconductors, low dv/dt, low common voltage, reduced electromagnetic interference, and low total harmonics distortion, among others. Better output power quality is ensured by increasing the number of levels in the synthesized output voltage waveform. Several multilevel topologies have been reported in the literature, such as neutral point clamped (NPC), flying capacitor (FC), cascaded H-bridge (CHB), hybrid cascaded H-bridge, asymmetrical cascaded H-bridge, modular multilevel converters (MMC), active neutral point clamped converters (ANPC), and packed U-cell type converters and various reduced device counts and a reduced number of source-based topologies have been proposed in literature. The multilevel converter, although a proven and enabling technology, still presents numerous challenges in topologies, modulation, and control, as well as in need-based applications. Since multilevel converters offer a wide range of possibilities, research and development in the areas of multilevel converter topologies, modulation, and control in various applications are still growing. To further improve multilevel converter energy efficiency, reliability, power density, and cost, many research groups across the world are working to broaden the application areas of multilevel converters and make them more attractive and competitive compared to classic topologies. Multilevel Converters intends to provide deep insight about multilevel converter operation, modulation, and control strategies and various recent applications of multilevel converters such as in variable speed drives, renewable energy generation, and power systems. |
sliding mode controller matlab simulink: Doubly Fed Induction Generators Edgar N. Sanchez, Riemann Ruiz-Cruz, 2016-08-05 Doubly Fed Induction Generators: Control for Wind Energy provides a detailed source of information on the modeling and design of controllers for the doubly fed induction generator (DFIG) used in wind energy applications. Focusing on the use of nonlinear control techniques, this book: Discusses the main features and advantages of the DFIG Describes key theoretical fundamentals and the DFIG mathematical model Develops controllers using inverse optimal control, sliding modes, and neural networks Devises an improvement to add robustness in the presence of parametric variations Details the results of real-time implementations All controllers presented in the book are tested in a laboratory prototype. Comparisons between the controllers are made by analyzing statistical measures applied to the control objectives. |
sliding mode controller matlab simulink: ICT for Smart Grid - Recent Advances, New Perspectives, and Applications Abdelfatteh Haidine, 2024-07-03 Information and Communication Technology (ICT) plays a pivotal role in enabling and managing smart grids, which are modernized electrical grids that leverage digital technologies for enhanced efficiency, reliability, and sustainability. ICT serves as the backbone of smart grids, enabling efficient, reliable, and sustainable electricity delivery while supporting the integration of renewable energy sources and promoting active consumer participation in grid operations. The current book treats different aspects of ICT in smart grids. The use of renewable energy sources is the core element of a sustainable energy infrastructure. Therefore, different chapters focus on microgrids. Furthermore, the book presents use cases for the use of microgrids in special environments, such as educational buildings, rural areas, and the housing industries. The Internet of Things (IoT) represents the paradigm to model any intelligent or smart system. In such IoT system, functionalities are organized in overlaid layers, therefore, it is called a “layered model” with a hierarchical structure. The bottom layer covers the nationwide dispatched energy infrastructure. The upper layer can be represented through either the service layer applications or business layers. The book describes and analyzes technologies and solutions for the data layer as well as the communications/networking level. |
sliding mode controller matlab simulink: Latest Trends in Renewable Energy Technologies Shelly Vadhera, Bhimrao S. Umre, Akhtar Kalam, 2021-07-01 This book presents select proceedings of the National Conference on Renewable Energy and Sustainable Environment (NCRESE 2020) and examines a range of reliable energy-efficient harvesting technologies, their applications and utilization of available alternate energy resources. The topics covered include alternate energy technologies, smart grid topologies and their relevant issues, solar thermal and bio-energy systems, electric vehicles and energy storage systems and its control issues. The book also discusses various properties and performance attributes of advance renewable energy techniques and impact on environmental sustainability. The book will be useful for researchers and professionals working in the areas of energy and sustainable environment and the allied fields. |
sliding mode controller matlab simulink: Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle Moussa Labbadi, Yassine Boukal, Mohamed Cherkaoui, 2021-09-14 This book studies selected advanced flight control schemes for an uncertain quadrotor unmanned aerial vehicle (UAV) systems in the presence of constant external disturbances, parametric uncertainties, measurement noise, time-varying external disturbances, and random external disturbances. Furthermore, in all the control techniques proposed in this book, it includes the simulation results with comparison to other nonlinear control schemes recently developed for the tracking control of a quadrotor UAV. The main contributions of the present book for quadrotor UAV systems are as follows: (i) the proposed control methods are based on the high-order sliding mode controller (SMC) and hybrid control algorithm with an optimization method. (ii) the finite-time control schemes are developed by using fast terminal SMC (FTSMC), nonsingular FTSMC (NFTSMC), global time-varying SMC, and adaptive laws. (iii) the fractional-order flight control schemes are developed by using the fractional-order calculus theory, super twisting algorithm, NFTSMC, and the SMC. This book covers the research history and importance of quadrotor system subject to system uncertainties, external wind disturbances, and noise measurements, as well as the research status of advanced flight control methods, adaptive flight control methods, and flight control based on fractional-order theory. The book would be interesting to most academic undergraduate, postgraduates, researchers on flight control for drones and applications of advanced controllers in engineering field. This book presents a must-survey for advanced finite-time control for quadrotor system. Some parts of this book have the potential of becoming the courses for the modelling and control of autonomous flying machines. Readers (academic researcher, undergraduate student, postgraduate student, MBA/executive, and education practitioner) interested in nonlinear control methods find this book an investigation. This book can be used as a good reference for the academic research on the control theory, drones, terminal sliding mode control, and related to this or used in Ph.D. study of control theory and their application in field engineering. |
sliding mode controller matlab simulink: Proceedings of the International Conference on Advanced Mechanical Engineering, Automation, and Sustainable Development 2021 (AMAS2021) Banh Tien Long, Hyung Sun Kim, Kozo Ishizaki, Nguyen Duc Toan, Ivan A. Parinov, Yun-Hea Kim, 2022-05-03 This book presents selected, peer-reviewed proceedings of the International Conference on Advanced Mechanical Engineering, Automation and Sustainable Development 2021 (AMAS2021), held in the city of Ha Long, Vietnam, from November 4 to 7, 2021. AMAS2021 is a special meeting of the International Conference on Material, Machines and Methods for Sustainable Development (MMMS), with a strong focus on automation and fostering an overall approach to assist policy makers, industries, and researchers at various levels to position local technological development toward sustainable development. The contributions published in this book stem from a wide spectrum of research, ranging from micro- and nanomaterial design and processing, to special applications in mechanical technology, environmental protection, green development, and climate change mitigation. A large group of contributions selected for these proceedings also focus on modeling and manufacturing of ecomaterials. |
sliding mode controller matlab simulink: Renewable Energy Systems Ahmad Taher Azar, Nashwa Ahmad Kamal, 2021-09-09 Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. - Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy - Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results - Includes new circuits and systems, helping researchers solve many nonlinear problems |
sliding mode controller matlab simulink: Intelligent Solutions for Smart Grids and Smart Cities Pierluigi Siano, Sheldon Williamson, Sabeena Beevi, 2023-05-24 This book comprises the select proceedings of the International Conference in Power, Energy, Control, Signals and Systems (IPECS) 2022. The book focuses on intelligent solutions for smart grids and smart cities. The content of this book is designed to develop many innovative ideas for an energy-efficient and sustainable future. It focuses on recent technological advances and challenges in the field of grid integration of renewable energy resources, AI/ML in power and energy systems, security enhancement of power systems/electronics using advanced ML techniques for integration of renewable energies, electric vehicle-energy storage, and battery charging technologies, etc. The book also covers the latest advances especially in instrumentation and control in smart grid applications —Internet of Things and cyber-physical systems, power semiconductor device technology leading to improvements in power losses for power electronic systems, economic and sustainable design of smart cities-security and data privacy in smart cities, lighting, and illumination. This book proves to be a valuable resource for those in academia and industry. |
sliding mode controller matlab simulink: Electric Systems for Transportation Maria Carmen Falvo, Alessandro Ruvio, 2021-09-02 Transportation systems play a major role in the reduction of energy consumptions and environmental impact all over the world. The significant amount of energy of transport systems forces the adoption of new solutions to ensure their performance with energy-saving and reduced environmental impact. In this context, technologies and materials, devices and systems, design methods, and management techniques, related to the electrical power systems for transportation are continuously improving thanks to research activities. The main common challenge in all the applications concerns the adoption of innovative solutions that can improve existing transportation systems in terms of efficiency and sustainability. |
sliding mode controller matlab simulink: Sliding Mode Control In Engineering Wilfrid Perruquetti, Jean-Pierre Barbot, 2002-01-29 Provides comprehensive coverage of the most recent developments in the theory of non-Archimedean pseudo-differential equations and its application to stochastics and mathematical physics--offering current methods of construction for stochastic processes in the field of p-adic numbers and related structures. Develops a new theory for parabolic equat |
sliding mode controller matlab simulink: Climbing and Walking Robots and the Supporting Technologies for Mobile Machines G. Muscato, D. Longo, 2003-11-07 Bringing together academics, researchers, and industrialists, Climbing and Walking Robots 2003 (CLAWAR 2003) provides a forum for cross-fertilization in the different specialities so that both state-of-the-art and industrial applications can be reported on. Original contributions, both industrial and those in new/emerging fields, provide a full picture of climbing and walking robots. The interest in climbing and walking robots (CLAWAR) has increased considerably over recent years, addressing many application fields such as exploration/intervention in extreme environments, personal services, emergency rescue operations, transportation, entertainment, etc., and envisage humanoid robots evolving into mechatronic replicas of ourselves. Topics covered include: Biological Inspired Systems Medical Systems Control of CLAWAR Design Methodology System Modelling and Simulation Modularity and System Architecture Gait Generation and Stability of CLAWAR Biped Locomotion Multi-legged Locomotion Micro Machines Applications Climbing Robots Actuators, Sensors, Navigation, and Sensors Fusion CLAWAR Network Workpackages |
sliding mode controller matlab simulink: Artificial Neural Networks - ICANN 2010 Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis, 2010-09-03 This three volume set LNCS 6352, LNCS 6353, and LNCS 6354 constitutes the refereed proceedings of the 20th International Conference on Artificial Neural Networks, ICANN 2010, held in Thessaloniki, Greece, in September 2010. The 102 revised full papers, 68 short papers and 29 posters presented were carefully reviewed and selected from 241 submissions. The second volume is divided in topical sections on Kernel algorithms – support vector machines, knowledge engineering and decision making, recurrent ANN, reinforcement learning, robotics, self organizing ANN, adaptive algorithms – systems, and optimization. |
sliding mode controller matlab simulink: Smart Power Grids 2011 Ali Keyhani, Mohammad Albaijat, 2012-01-12 Electric power systems are experiencing significant changes at the worldwide scale in order to become cleaner, smarter, and more reliable. This edited book examines a wide range of topics related to these changes, which are primarily caused by the introduction of information technologies, renewable energy penetration, digitalized equipment, new operational strategies, and so forth. The emphasis will be put on the modeling and control of smart grid systems. The book addresses research topics such as high efficiency transforrmers, wind turbines and generators, fuel cells, or high speed turbines and generators. |
sliding mode controller matlab simulink: Proceedings of the 5th International Conference on Electrical Engineering and Control Applications–Volume 1 Salim Ziani, Mohammed Chadli, Sofiane Bououden, Ivan Zelinka, 2024-09-30 This book gathers papers presented during the 5th International Conference on Electrical Engineering and Control Applications (ICEECA 2022), held on November, 15–17, 2022, Khenchela, Algeria. It covers new control system models, troubleshooting tips, and complex system requirements, such as increased speed, precision, and remote capabilities. Additionally, the book discusses not only the engineering aspects of signal processing and various practical issues in the broad field of information transmission, but also novel technologies for communication networks and modern antenna design. The later part of the book covers important related topics such as fault diagnosis and fault-tolerant control strategies for nonlinear systems and alternative energy sources. This book is intended for researchers, engineers, and advanced postgraduate students in the fields of control and electrical engineering, computer science, signal processing, as well as mechanical and chemical engineering. |
sliding mode controller matlab simulink: Advances in Engineering Research and Application Kai-Uwe Sattler, Duy Cuong Nguyen, Ngoc Pi Vu, Banh Tien Long, Horst Puta, 2020-11-23 This proceedings book features volumes gathered selected contributions from the International Conference on Engineering Research and Applications (ICERA 2020) organized at Thai Nguyen University of Technology on December 1–2, 2020. The conference focused on the original researches in a broad range of areas, such as Mechanical Engineering, Materials and Mechanics of Materials, Mechatronics and Micromechatronics, Automotive Engineering, Electrical and Electronics Engineering, and Information and Communication Technology. Therefore, the book provides the research community with authoritative reports on developments in the most exciting areas in these fields. |
sliding mode controller matlab simulink: Intelligent Manufacturing & Mechatronics Mohd Hasnun Arif Hassan, 2018-04-27 This book presents the proceedings of SympoSIMM 2018, the 1st edition of the Symposium on Intelligent Manufacturing and Mechatronics. With the theme of “Strengthening Innovations Towards Industry 4.0”, the book comprises the studies towards the particularity of Industry 4.0’s current trends. It is divided into five parts covering various scopes of manufacturing engineering and mechatronics stream, namely Intelligent Manufacturing, Robotics, Artificial Intelligence, Instrumentation, and Modelling and Simulation. It is hoped that this book will benefit the readers in embracing the new era of Industrial Revolution 4.0. |
sliding mode controller matlab simulink: MATLAB Vasilios Katsikis, 2012-09-26 This excellent book represents the final part of three-volumes regarding MATLAB-based applications in almost every branch of science. The book consists of 19 excellent, insightful articles and the readers will find the results very useful to their work. In particular, the book consists of three parts, the first one is devoted to mathematical methods in the applied sciences by using MATLAB, the second is devoted to MATLAB applications of general interest and the third one discusses MATLAB for educational purposes. This collection of high quality articles, refers to a large range of professional fields and can be used for science as well as for various educational purposes. |
sliding mode controller matlab simulink: Intelligent Systems and Networks Thi Dieu Linh Nguyen, Elena Verdú, Anh Ngoc Le, Maria Ganzha, 2023-08-19 This book presents Proceedings of the International Conference on Intelligent Systems and Networks (ICISN 2023), held at Hanoi in Vietnam. It includes peer reviewed high impact research manuscripts, that highlight the work based on Intelligent System and Networks. The book presents ongoing research outcomes, results and cutting edge works which are of importance to professionals and academics/researchers. It covers topics such as Computational Intelligence in Language and Speech Processing; Software development methods; Wireless Communications and Signal Processing; IoT and Sensor Embedded Systems ; etc. |
SLIDING | definition in the Cambridge English Dictionary
When he's turning a double play and jumping over a guy sliding into second, he could include it. Those who can pay are charged on a sliding scale, from $5 to $30. The child and dependent …
SLIDING Definition & Meaning - Merriam-Webster
The meaning of SLIDE is to move smoothly along a surface : slip. How to use slide in a sentence.
SLIDING Definition & Meaning | Dictionary.com
Sliding definition: rising or falling, increasing or decreasing, according to a standard or to a set of conditions.. See examples of SLIDING used in a sentence.
Sliding - definition of sliding by The Free Dictionary
n. 1. A sliding movement or action. 2. a. A smooth, usually inclined surface or track for sliding: a water slide. b. A playground apparatus for children to slide on, typically consisting of a smooth …
Sliding - Definition, Meaning & Synonyms | Vocabulary.com
6 days ago · /ˈslaɪdɪŋ/ IPA guide Other forms: slidingly Definitions of sliding adjective being a smooth continuous motion synonyms:
SLIDING definition in American English | Collins English Dictionary
2 senses: 1. rising or falling in accordance with given specifications 2. regulated or moved by sliding.... Click for more definitions.
sliding - WordReference.com Dictionary of English
to move along in continuous contact with a smooth or slippery surface: to slide down a snow-covered hill. to slip or skid. to glide or pass smoothly. to slip easily, quietly, or unobtrusively on …
slide verb - Definition, pictures, pronunciation and usage notes ...
Definition of slide verb from the Oxford Advanced Learner's Dictionary. [intransitive, transitive] to move easily over a smooth or wet surface; to make something move in this way. As I turned …
sliding - Wiktionary, the free dictionary
Mar 26, 2025 · sliding The act of making a slip or losing one's traction. (rare) Effortless or fluid movement. (rare) Dragging; moving something alongside oneself.
Sliding Patio Door - Patio Doors - The Home Depot
Get free shipping on qualified Sliding Patio Door Patio Doors products or Buy Online Pick Up in Store today in the Doors & Windows Department.
SLIDING | definition in the Cambridge English Dictionary
When he's turning a double play and jumping over a guy sliding into second, he could include it. Those who can pay are charged on a sliding scale, from $5 to $30. The child and dependent …
SLIDING Definition & Meaning - Merriam-Webster
The meaning of SLIDE is to move smoothly along a surface : slip. How to use slide in a sentence.
SLIDING Definition & Meaning | Dictionary.com
Sliding definition: rising or falling, increasing or decreasing, according to a standard or to a set of conditions.. See examples of SLIDING used in a sentence.
Sliding - definition of sliding by The Free Dictionary
n. 1. A sliding movement or action. 2. a. A smooth, usually inclined surface or track for sliding: a water slide. b. A playground apparatus for children to slide on, typically consisting of a smooth …
Sliding - Definition, Meaning & Synonyms | Vocabulary.com
6 days ago · /ˈslaɪdɪŋ/ IPA guide Other forms: slidingly Definitions of sliding adjective being a smooth continuous motion synonyms:
SLIDING definition in American English | Collins English Dictionary
2 senses: 1. rising or falling in accordance with given specifications 2. regulated or moved by sliding.... Click for more definitions.
sliding - WordReference.com Dictionary of English
to move along in continuous contact with a smooth or slippery surface: to slide down a snow-covered hill. to slip or skid. to glide or pass smoothly. to slip easily, quietly, or unobtrusively on …
slide verb - Definition, pictures, pronunciation and usage notes ...
Definition of slide verb from the Oxford Advanced Learner's Dictionary. [intransitive, transitive] to move easily over a smooth or wet surface; to make something move in this way. As I turned …
sliding - Wiktionary, the free dictionary
Mar 26, 2025 · sliding The act of making a slip or losing one's traction. (rare) Effortless or fluid movement. (rare) Dragging; moving something alongside oneself.
Sliding Patio Door - Patio Doors - The Home Depot
Get free shipping on qualified Sliding Patio Door Patio Doors products or Buy Online Pick Up in Store today in the Doors & Windows Department.