Nonlinear Pinning Control of Complex Dynamical Networks Analysis and Applications
Motion Control of Functionally Related Systems
Classical Feedback Control with Nonlinear Multi-Loop Systems With MATLAB® and Simulink®, Third Edition
Fuzzy Controller Design Theory and Applications
Chaos in Automatic Control
By Jing Zhou, Lantao Xing, Changyun Wen
December 15, 2021
This book presents a series of innovative technologies and research results on adaptive control of dynamic systems with quantization, uncertainty, and nonlinearity, including the theoretical success and practical development such as the approaches for stability analysis, the compensation of ...
By Edgar N. Sanchez, Carlos J. Vega, Oscar J. Suarez, Guanrong Chen
August 20, 2021
This book presents two nonlinear control strategies for complex dynamical networks. First, sliding-mode control is used, and then the inverse optimal control approach is employed. For both cases, model-based is considered in Chapter 3 and Chapter 5; then, Chapter 4 and Chapter 6 are based on ...
By Sunan Huang, Kok Kiong Tan, Poi Voon Er, Tong Heng Lee
March 18, 2020
Control systems include many components, such as transducers, sensors, actuators and mechanical parts. These components are required to be operated under some specific conditions. However, due to prolonged operations or harsh operating environment, the properties of these devices may degrade to an ...
By Tarik Uzunović, Asif Šabanović
January 16, 2020
This book is concerned with the development of design techniques for controlling motion of mechanical systems which are employed to execute certain tasks acting collaboratively. The book introduces unified control design procedure for functionally related systems. The controllers for many different...
By Boris J. Lurie, Paul Enright
August 21, 2019
Classical Feedback Control with Nonlinear Multi-Loop Systems describes the design of high-performance feedback control systems, emphasizing the frequency-domain approach widely used in practical engineering. It presents design methods for high-order nonlinear single- and multi-loop controllers with...
By Xiang-Gui Guo, Jian-Liang Wang, Fang Liao, Rodney Swee Huat Teo
June 27, 2019
Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus aims to present recent research results in designing platoon control and non-fragile quantized consensus for multi-agent systems. The main feature of this book is that distributed adaptive sliding mode control (SMC) algorithms...
By Yong-Duan Song
October 15, 2018
The purpose of this book is to give an exposition of recently adaptive PI/PD/PID control design for nonlinear systems. Since PI/PD/PID control is simple in structure and inexpensive in implementation, it has been undoubtedly the most widely employed controller in industry. In fact, PI/PD/PID ...
By Lei Guo, Songyin Cao
March 30, 2017
The main focus of this monograph will be on the Enhanced Anti-Disturbance Control and filtering theory and their applications. In fact, the classical anti-disturbance control theory only considered one "equivalent" disturbance which is merged by different unknown sources. However, it is noted that ...
By Zdenko Kovacic, Stjepan Bogdan
December 12, 2005
Fuzzy control methods are critical for meeting the demands of complex nonlinear systems. They bestow robust, adaptive, and self-correcting character to complex systems that demand high stability and functionality beyond the capabilities of traditional methods. A thorough treatise on the theory of ...
By Dong Sun
June 14, 2017
Multiple intelligent agent systems are commonly used in research requiring complex behavior. Synchronization control provides an advantage in solving the problem of multi-agent coordination. This book focuses on the use of synchronization control to coordinate the group behavior of multiple agents....
Edited By Wilfrid Perruquetti, Jean-Pierre Barbot
October 14, 2005
Chaotic behavior arises in a variety of control settings. In some cases, it is beneficial to remove this behavior; in others, introducing or taking advantage of the existing chaotic components can be useful for example in cryptography. Chaos in Automatic Control surveys the latest methods for ...
By Cong Wang, David J. Hill
October 06, 2017
Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and ...