Sliding Mode Control Using MATLAB

This book PDF is perfect for those who love Technology & Engineering genre, written by Jinkun Liu and published by Academic Press which was released on 25 May 2017 with total hardcover pages 346. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Sliding Mode Control Using MATLAB books below.

Sliding Mode Control Using MATLAB
Sliding Mode Control Using MATLAB
Author : Jinkun Liu
File Size : 48,8 Mb
Publisher : Academic Press
Language : English
Release Date : 25 May 2017
ISBN : 9780128026700
Pages : 346 pages
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Sliding Mode Control Using MATLAB by Jinkun Liu Book PDF Summary

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 Control Using MATLAB

Sliding Mode Control Using MATLAB by Jinkun Liu

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

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Advanced Sliding Mode Control for Mechanical Systems

Advanced Sliding Mode Control for Mechanical Systems by Jinkun Liu,Xinhua Wang

"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,

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Nonlinear Control Systems using MATLAB

Nonlinear Control Systems using MATLAB by Mourad Boufadene

The development of computer software for nonlinear control systems has provided many benefits for teaching, research, and the development of control systems design. MATLAB is considered the dominant software platforms for linear and nonlinear control systems analysis. This book provides an easy way to learn nonlinear control systems such as

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Advances and Applications in Sliding Mode Control systems

Advances and Applications in Sliding Mode Control systems by Ahmad Taher Azar,Quanmin Zhu

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

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Intelligent Control Design and MATLAB Simulation by Jinkun Liu

This book offers a comprehensive introduction to intelligent control system design, using MATLAB simulation to verify typical intelligent controller designs. It also uses real-world case studies that present the results of intelligent controller implementations to illustrate the successful application of the theory. Addressing the need for systematic design approaches to

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Sliding Mode Fuzzy Controllers

Sliding Mode Fuzzy Controllers by Mojtaba Ahmadieh Khanesar,Okyay Kaynak,Erdal Kayacan

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

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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

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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

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