Overview
- Offers practical perspective and examines numerous classical sliding mode controllers
- Provides concrete stability analysis for each method and complete MATLAB simulation programs
- Chapters deliver self-contained coverage, so they can be read independently
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
"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.
Authors and Affiliations
Bibliographic Information
Book Title: Advanced Sliding Mode Control for Mechanical Systems
Book Subtitle: Design, Analysis and MATLAB Simulation
Authors: Jinkun Liu, Xinhua Wang
DOI: https://doi.org/10.1007/978-3-642-20907-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-20906-2Published: 11 June 2012
eBook ISBN: 978-3-642-20907-9Published: 07 September 2012
Edition Number: 1
Number of Pages: X, 356
Number of Illustrations: 207 b/w illustrations
Additional Information: Jointly published with Tsinghua University Press
Topics: Control and Systems Theory, Vibration, Dynamical Systems, Control, Systems Theory, Control, Aerospace Technology and Astronautics, Industrial and Production Engineering