Adaptive Control: Methods, Applications and Research

Dianwei Qian (Editor)
North China Electric Power University, Beijing, P.R. China

Series: Systems Engineering Methods, Developments and Technology
BISAC: TEC007000

Clear

$160.00

Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

eBook

Digitally watermarked, DRM-free.
Immediate eBook download after purchase.

Product price
Additional options total:
Order total:

Quantity:

Details

Adaptive control is the control method used by a controller which must adapt to a controlled system with parameters which vary, or are initially uncertain. An adaptive control system utilizes on-line identification of which either system parameter or controller parameter, which does not need a priori information about the bounds on these uncertain or time-varying parameters. The adaptive control approaches consider their control design in the sense of Lyapunov. Besides, there are still some branches by combining adaptive control and other control methods, i.e., nonlinear control methods, intelligent control methods, and predict control methods, to name but a few.
This book addresses some original contributions reporting the latest advances in adaptive control.

It aims to gather the latest research on state-of-the-art methods, applications and research for the adaptive control theory, and recent new findings obtained by the technique of adaptive control. Apparently, the book cannot include all research topics. The editor wishes that it could reveal some tendencies on this research field and benefit readers. In this book, different aspects of adaptive control are explored. Chapters includes some new tendencies and developments in research on a adaptive formation controller for multi-robot systems; L1 adaptive control design of the the longitudinal dynamics of a hypersonic vehicle model; adaptive high-gain control of biologically inspired receptor systems; adaptive residual vibration suppression of sigid-flexible coupled systems; neuro-hierarchical sliding mode control for under-actuated mechanical systems; neural network adaptive PID control design based on PLC for a water-level system; and fuzzy-based design of networked control systems with random time delays and packet dropout in the forward communication channel.

Preface

Chapter 1. Adaptive Leader-Follower Formation Control of Multiple Nonholonomic Mobile Robots in a Cluttered Environment
(Yanyan Dai, Department of Electrical Engineering, Yeungnam University, Gyeongsan, South Korea)

Chapter 2. L1 Adaptive Control Design for the Longitudinal Dynamics of a Hypersonic Vehicle
(Qi Chen and Jianliang Ai, Department of Aeronautics & Astronautics, Fudan University, Shanghai, China)

Chapter 3. Adaptive High-Gain Control in the Application of Biologically Inspired Receptor Systems: Analysis and Numerical Simulations
(Carsten Behn, Peter Loepelmanny and Konrad Siedler, Department of Mechanical Engineering, Technical Mechanics Group, Technische Universität Ilmenau, Ilmenau, Germany, and others)

Chapter 4. Adaptive Residual Vibration Suppression of a Rigid-Flexible Coupled System through a Hybrid Shaping Design
(Shiwen Tong, Xiaoyu Yan and Jianjun Fang, College of Robotics, Beijing Union University, Beijing, P.R. China, and others)

Chapter 5. Neuro-Hierarchical Sliding Mode Control for Under-Actuated Mechanical Systems
(Yafei Xi, Dianwei Qian, and Siqi Shao, School of Control and Computer Engineering, North China Electric Power University, Beijing, China, and others)

Chapter 6. The Design and Application of a Neural Network Adaptive PID Controller Based on PLC
(Junjie Ren, College of Robotics, Beijing Union University, Beijing, P.R. China)

Chapter 7. A Fuzzy-Based Design of Networked Control Systems Considering Random Time Delays and Packet Dropouts in the Forward Communication Channel
(Shiwen Tong, Xiaoyu Yan, and Jianjun Fang, College of Robotics, Beijing Union University, Beijing, P.R. China, and others)

Chapter 8. Adaptive Pre-Signal Control at Bi-Modal Intersections
(Haitao He, S. Ilgin Guler, and Monica Menendez, Institute for Transport Planning and Systems, ETH Zurich, Switzerland)

Index

You have not viewed any product yet.