Sliding Mode Fuzzy Controllers PDF Download
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Author | : Mojtaba Ahmadieh Khanesar |
Publisher | : Springer Nature |
Total Pages | : 237 |
Release | : 2021-07-21 |
Genre | : Technology & Engineering |
ISBN | : 3030691829 |
Download Sliding-Mode Fuzzy Controllers Book in PDF, ePub and Kindle
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.
Author | : Rainer Palm |
Publisher | : Springer Science & Business Media |
Total Pages | : 204 |
Release | : 1997 |
Genre | : Computers |
ISBN | : 9783540614715 |
Download Model Based Fuzzy Control Book in PDF, ePub and Kindle
Introduction to model based fuzzy control; The FLC as a nonlinear transfer element; model based design of sliding mode FLC; Model based design of Takagi-Sugeno FLCs; References; Index.
Author | : Rainer Palm |
Publisher | : Springer Science & Business Media |
Total Pages | : 195 |
Release | : 2013-04-17 |
Genre | : Computers |
ISBN | : 3662034018 |
Download Model Based Fuzzy Control Book in PDF, ePub and Kindle
Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of central interest are the stability, performance, and robustness of the resulting closed loop system. The major objective of model based fuzzy control is to use the full range of linear and nonlinear design and analysis methods to design such fuzzy controllers with better stability, performance, and robustness properties than non-fuzzy controllers designed using the same techniques. This objective has already been achieved for fuzzy sliding mode controllers and fuzzy gain schedulers - the main topics of this book. The primary aim of the book is to serve as a guide for the practitioner and to provide introductory material for courses in control theory.
Author | : Jinkun Liu |
Publisher | : Springer Science & Business Media |
Total Pages | : 367 |
Release | : 2012-09-07 |
Genre | : Technology & Engineering |
ISBN | : 3642209076 |
Download Advanced Sliding Mode Control for Mechanical Systems Book in PDF, ePub and Kindle
"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.
Author | : Ahmad Taher Azar |
Publisher | : Springer |
Total Pages | : 592 |
Release | : 2014-11-01 |
Genre | : Technology & Engineering |
ISBN | : 3319111736 |
Download Advances and Applications in Sliding Mode Control systems Book in PDF, ePub and Kindle
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.
Author | : Jinkun Liu |
Publisher | : Academic Press |
Total Pages | : 348 |
Release | : 2017-05-25 |
Genre | : Technology & Engineering |
ISBN | : 0128026707 |
Download Sliding Mode Control Using MATLAB Book in PDF, ePub and Kindle
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
Author | : David T. Ellis |
Publisher | : |
Total Pages | : 201 |
Release | : 2015 |
Genre | : Electronic books |
ISBN | : 9781634831154 |
Download Sliding Mode Control (SMC) Book in PDF, ePub and Kindle
Sliding mode control was first introduced in the 1950s. It is a nonlinear control technique with many unique properties. In this book, different aspects of SMC are explored. Chapters include new developments in research on a sliding mode governor for hydropower plants; integral sliding mode control (I-SMC) for a variable speed wind turbine system and a I-SMC method for load frequency control (LFC) of nonlinear power systems with wind turbines; the control of a stand-alone photovoltaic (PV) system; leader-follower-based formation control of a group of mobile robots; the application of Takagi-Sugeno (T-S) fuzzy model in coordinated control of multiple robots system; an induction motor speed control using the nonsingular terminal sliding-mode control method; adaptive nonsingular terminal sliding mode (NTSM) tracking control scheme based on backstepping design presented for Micro-Electro-Mechanical Systems (MEMS) vibratory gryoscopes; and a hybrid actuator and its control using a cascade sliding mode technique.
Author | : Michael Kevin Balch |
Publisher | : |
Total Pages | : 100 |
Release | : 1994 |
Genre | : Automatic control |
ISBN | : |
Download The Use of Fuzzy Logic in Sliding Mode Controllers Book in PDF, ePub and Kindle
Author | : Nabil Derbel |
Publisher | : Springer |
Total Pages | : 366 |
Release | : 2016-10-14 |
Genre | : Technology & Engineering |
ISBN | : 9811023743 |
Download Applications of Sliding Mode Control Book in PDF, ePub and Kindle
This book presents essential studies and applications in the context of sliding mode control, highlighting the latest findings from interdisciplinary theoretical studies, ranging from computational algorithm development to representative applications. Readers will learn how to easily tailor the techniques to accommodate their ad hoc applications. To make the content as accessible as possible, the book employs a clear route in each paper, moving from background to motivation, to quantitative development (equations), and lastly to case studies/illustrations/tutorials (simulations, experiences, curves, tables, etc.). Though primarily intended for graduate students, professors and researchers from related fields, the book will also benefit engineers and scientists from industry.
Author | : Dimiter Driankov |
Publisher | : Springer Science & Business Media |
Total Pages | : 329 |
Release | : 2013-06-29 |
Genre | : Computers |
ISBN | : 3662032848 |
Download An Introduction to Fuzzy Control Book in PDF, ePub and Kindle
Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers are an established practice for Japanese manufacturers, and are spreading in Europe and America. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available. The book is mainly oriented to control engineers and theorists, although parts can be read without any knowledge of control theory and may interest AI people. This 2nd, revised edition incorporates suggestions from numerous reviewers and updates and reorganizes some of the material.