<p>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.</p> <p>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.</p>
<ul>
<li>Provides many sliding mode controller design examples to help readers solve their research and design problems</li>
<li>Includes various, implementable, robust sliding mode control design solutions from engineering applications </li>
<li>Provides the simulation examples and MATLAB programs for each sliding mode control algorithm</li>
</ul>

Sliding Mode Control Using MATLAB

Computers & Technology

Liu, Jinkun

Computer Science

Academic Press

<p>"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.</p>

Advanced Sliding Mode Control for Mechanical Systems: Design, Analysis and MATLAB Simulation

Wang, Xinhua

Reference

Springer

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation

<p><b><i>Radial Basis</i></b><b><i> Function (RBF)</i></b><b><i> Neural Network Control</i></b> <b><i>for Mechanical Systems</i></b> is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible joint robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with the fundamentals of neural network control system design. <br><br>This book is intended for the researchers in the fields of neural adaptive control, mechanical systems, Matlab simulation, engineering design, robotics and automation. </p>
<p><b>Jinkun Liu</b> is a professor at Beijing University of Aeronautics and Astronautics.</p>

This book introduces concrete design methods and MATLAB simulations of stable adaptive Radial Basis Function (RBF) neural control strategies. It presents a broad range of implementable neural network control design methods for mechanical systems.

<p>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 intelligent control system design using neural network and fuzzy-based techniques, the book introduces the concrete design method and MATLAB simulation of intelligent control strategies; offers a catalog of implementable intelligent control design methods for engineering applications; provides advanced intelligent controller design methods and their stability analysis methods; and presents a sample simulation and Matlab program for each intelligent control algorithm.</p> <p>The main topics addressed are expert control, fuzzy logic control, adaptive fuzzy control, neural network control, adaptive neural control and </p>intelligent optimization algorithms, providing several engineering application examples for each method.

Intelligent Control Design and MATLAB Simulation

<p>This book presents theoretical explorations of several fundamental problems in the dynamics and control of flexible beam systems. By integrating fresh concepts and results to form a systematic approach to control, it establishes a basic theoretical framework. It includes typical control design examples verified using MATLAB simulation, which in turn illustrate the successful practical applications of active vibration control theory for flexible beam systems. The book is primarily intended for researchers and engineers in the control system and mechanical engineering community, offering them a unique resource.</p>

Active Vibration Control and Stability Analysis of Flexible Beam Systems

Science & Math

He, Wei

Astronomy & Space Science

The book investigates fundamental issues in flexible manipulator systems, including distributed parameter modeling and boundary controller design. It presents theoretical explorations of several fundamental problems concerning the dynamics and control of these systems. By integrating fresh concepts and results to form a systematic approach to control, it also provides a basic theoretical framework.In turn, the book offers a comprehensive treatment of flexible manipulator systems, addressing topics ranging from related distributed parameter modeling and advanced boundary controller design for these systems with input constraint, to active control with output constraint.In brief, the book addresses dynamical analysis and control design for flexible manipulator systems. Though primarily intended for researchers and engineers in the control system and mechanical engineering community, it can also serve as supplemental reading on the modeling and control of flexible manipulator systems at the postgraduate level.

Distributed Parameter Modeling and Boundary Control of Flexible Manipulators

<p><div>This book provides a comprehensive review of fundamental issues in the dynamical modeling and vibration control design for several flexible mechanical systems, such as flexible satellites, flexible aerial refueling hoses, and flexible three-dimensional manipulators. Offering an authoritative reference guide to the dynamics and control of flexible mechanical systems, it equips readers to solve a host of problems concerning these systems. It provides not only a complete overview of flexible systems, but also a better understanding of the technical levels involved.</div> <div>&nbsp;</div> <div>The book is divided into ten chapters: Chapters 1 and 2 lay the foundations, while the remaining chapters explore several independent yet related topics in detail. The book's final chapter presents conclusions and recommendations for future research.</div> <div><br /></div> <div>Given its scope, the book is intended for researchers, graduate students, and engineers whose work involves control systems, flexible mechanical systems, and related areas.</div> <div><br /></div></p>

PDE Modeling and Boundary Control for Flexible Mechanical System (Springer Tracts in Mechanical Engineering)

Liu, Zhijie

<p>This book aims at investigating PDE modeling and vibration control of some typical mechanical distributed parameter systems. Several control methods are proposed to realize stabilization of the closed-loop system with the help of mathematical tools and stability analysis methods. Besides, some common engineering problems, such as input and output constraints, are also involved in the control design. This book offers a comprehensive introduction of mechanical distributed parameter systems, including PDE modeling, controller design and stability analysis. The related fundamental mathematical tools and analytical approaches involving in the PDE modeling and controller are also provided, which broadens its reach to readers.</p>

Vibration Control Methods of Mechanical Distributed Parameter Systems (Springer Tracts in Mechanical Engineering)

Xing, Xueyan

See the best price to sell, buy, or rent books by Liu, Jinkun. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Liu, Jinkun

See the best price to sell, buy, or rent books by Liu, Jinkun. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Sliding Mode Control Using MATLAB

Advanced Sliding Mode Control for Mechanical Systems: Design, Analysis and MATLAB Simulation

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation

Intelligent Control Design and MATLAB Simulation

Active Vibration Control and Stability Analysis of Flexible Beam Systems

Distributed Parameter Modeling and Boundary Control of Flexible Manipulators

PDE Modeling and Boundary Control for Flexible Mechanical System (Springer Tracts in Mechanical Engineering)

Vibration Control Methods of Mechanical Distributed Parameter Systems (Springer Tracts in Mechanical Engineering)

Vibration Control Methods of Mechanical Distributed Parameter Systems (Springer Tracts in Mechanical Engineering)