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E-raamat: Robust Control for Nonlinear Time-Delay Systems

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  • Formaat: PDF+DRM
  • Ilmumisaeg: 28-Jun-2017
  • Kirjastus: Springer Verlag, Singapore
  • Keel: eng
  • ISBN-13: 9789811051319
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Robust Control for Nonlinear Time-Delay SystemsSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 28-Jun-2017
  • Kirjastus: Springer Verlag, Singapore
  • Keel: eng
  • ISBN-13: 9789811051319
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This book reports on the latest findings concerning nonlinear control theory and applications. It presents novel work on several kinds of commonly encountered nonlinear time-delay systems, including those whose nonlinear terms satisfy high-order polynomial form or general nonlinear form, those with nonlinear input or a triangular structure, and so on. As such, the book will be of interest to university researchers, R&D engineers and graduate students in the fields of control theory and control engineering who wish to learn about the core principles, methods, algorithms, and applications of nonlinear time-delay systems.

Arvustused

This book reports recent findings concerning nonlinear control theory and its applications. The target audience includes university researchers, research and development engineers, and graduate students in the fields of control theory who wish to learn about the principles, methods, algorithms, and applications of nonlinear time-delay systems. (IEEE Control Systems Magazine, Vol.37 (6), December) It provides an insightful analysis of a spectrum of problems on robust control for nonlinear time-delay systems, and undoubtedly enriches the content of nonlinear system theory and time-delay system theory. It is a valuable reference for interested researchers and advanced graduate students. (Zhaoxu Yu, Mathematical Reviews, January, 2018)

1 Introduction
1(12)
1.1 Background
1(2)
1.2 Description of Nonlinear Time-Delay Systems
3(3)
1.2.1 Quasi Nonlinear Time-Delay Systems
3(1)
1.2.2 Pure Nonlinear Time-Delay Systems
4(1)
1.2.3 Interconnected Nonlinear Time-Delay Systems
5(1)
1.3 Problems Studied in This Book
6(3)
1.3.1 High-Order Polynomial Uncertainties
6(1)
1.3.2 General Uncertainties
7(1)
1.3.3 Nonlinear Input
7(1)
1.3.4 System with Lower Triangular Structure
8(1)
1.4 Summary
9(4)
Part I High-Order Polynomial Nonlinear Uncertainties
2 Robust Stabilization of Single Nonlinear Time-Delay System
13(14)
2.1 Introduction
13(1)
2.2 System Formulation and Preliminaries
14(2)
2.3 Adaptive Robust State Feedback Controller
16(3)
2.4 Novel Nonlinear Feedback Controller
19(3)
2.5 Simulations
22(4)
2.6 Conclusion
26(1)
3 Robust Model Reference Adaptive Control for Interconnected Time-Delay Systems
27(16)
3.1 Introduction
27(1)
3.2 System Formulation and Preliminaries
28(2)
3.3 Main Results
30(5)
3.4 Numerical Example
35(4)
3.5 Conclusion
39(4)
Part II General Nonlinear Uncertainties
4 Decentralized Adaptive Control for Interconnected Time-Delay Systems
43(18)
4.1 Introduction
43(1)
4.2 System Formulation and Preliminaries
44(2)
4.3 Decentralized Feedback Control
46(4)
4.4 Application to Decentralized Control for a Class of Interconnected Systems
50(4)
4.5 Illustrative Examples
54(5)
4.6 Conclusion
59(2)
5 Memoryless State Feedback Control for Uncertain Nonlinear Time-Delay System
61(14)
5.1 Introduction
61(1)
5.2 System Description
62(1)
5.3 Controller Design
63(8)
5.4 Simulation Example
71(2)
5.5 Conclusion
73(2)
6 Exponential Stabilization for Interconnected Time-Delay Systems
75(18)
6.1 Introduction
75(1)
6.2 System Formulation and Preliminaries
76(2)
6.3 Controller Design
78(10)
6.4 Numerical Example
88(2)
6.5 Conclusion
90(3)
7 Robust Adaptive Control for Time-Delay System via T-S Fuzzy Approach
93(22)
7.1 Introduction
93(1)
7.2 System Formulation and Assumptions
94(4)
7.3 Virtual Control Design
98(3)
7.4 Controller Design
101(6)
7.5 Simulation
107(5)
7.6 Conclusion
112(3)
Part III Nonlinear Input
8 Adaptive Tracking of Time-Delay System with Unknown Dead-Zone Input
115(14)
8.1 Introduction
115(1)
8.2 System Description
116(2)
8.3 Controller Design
118(7)
8.4 Simulation Examples
125(3)
8.5 Conclusion
128(1)
9 Decentralized Fuzzy Networked Control Systems Design with Sector Input
129(30)
9.1 Introduction
129(1)
9.2 System Formulation and Assumptions
130(3)
9.3 Virtual Control Design
133(3)
9.4 Controller Design
136(11)
9.4.1 Parameters Known Case
137(7)
9.4.2 Parameters Unknown Case
144(3)
9.5 Simulations
147(8)
9.6 Conclusion
155(4)
Part IV Time-Delay System with Lower Triangular Structure
10 Robust Control for a Class of Time-Delay System via Razumikhin Lemma
159(14)
10.1 Introduction
159(1)
10.2 Problem Formulation and Preliminaries
160(2)
10.3 Main Results
162(9)
10.4 Conclusion
171(2)
11 Backstepping Control for Nonlinear Time-Delay System via L-K Function
173(20)
11.1 Introduction
173(1)
11.2 System Description and Preliminaries
174(2)
11.3 Controller Design for the Second-Order System
176(4)
11.4 Extension to the nth-Order System
180(5)
11.5 Application to Chemical Reactor Systems
185(2)
11.6 Simulations
187(4)
11.7 Conclusion
191(2)
12 NN-Based Output Feedback Tracking of Nonlinear Time-Delay System
193(22)
12.1 Introduction
193(1)
12.2 System Formulation and Some Assumptions
194(3)
12.3 Preliminary Knowledge
197(1)
12.4 Observer Design
198(2)
12.5 Controller Design
200(8)
12.6 Choosing Proper Functions
208(3)
12.7 Simulation Example
211(3)
12.8 Conclusion
214(1)
13 Output Feedback Stabilization for Interconnected Time-Delay Systems
215(32)
13.1 Introduction
215(1)
13.2 System Formulation
216(4)
13.3 Robust Controller Design
220(12)
13.3.1 Observer Design
220(2)
13.3.2 Controller Design
222(10)
13.4 Adaptive Neural Network Control
232(8)
13.5 Simulation Investigation
240(6)
13.6 Conclusion
246(1)
14 Robust Control of Time-Delay System with Unknown Control Direction
247(24)
14.1 Introduction
247(1)
14.2 Problem Formulation
248(1)
14.3 Preliminaries
249(2)
14.4 Observer Design
251(2)
14.5 Controller Design: Known Bound Functions
253(7)
14.6 Controller Design: Unknown Bound Functions
260(4)
14.7 Simulation Example
264(6)
14.8 Conclusion
270(1)
15 Decentralized Prescribed Performance Tracking of Stochastic Time-Delay System
271(20)
15.1 Introduction
271(1)
15.2 System Formulation and Preliminaries
272(4)
15.2.1 Problem Formulation
272(3)
15.2.2 Basic Knowledge on Stochastic System
275(1)
15.3 Controller Design
276(11)
15.3.1 Reduced-Order Observer Design
276(2)
15.3.2 Prescribed Performance Transformation
278(1)
15.3.3 Adaptive Neural Network Controller Design
278(9)
15.4 Simulation Example
287(3)
15.5 Conclusion
290(1)
References 291
Changchun Hua received the Ph.D degree in electrical engineering from Yanshan University, Qinhuangdao, China, in 2005. He was a research Fellow in National University of Singapore from 2006 to 2007. From 2007 to 2009, he worked in Carleton University, Canada, funded by Province of Ontario Ministry of Research and Innovation Program. From 2009 to 2011, he worked in University of Duisburg Essen, Germany, funded by Alexander von Humboldt Foundation. Now he is a full Professor in Yanshan University, China. He is the author or coauthor of more than 110 papers in mathematical, technical journals, and conferences. He has been involved in more than 10 projects supported by the National Natural Science Foundation of China, the National Education Committee Foundation of China, and other important foundations. His research interests are in nonlinear control systems, control systems design over network, teleoperation systems and intelligent control.

Liuliu Zhang received herB.Sc. degree in electrical engineering from Yanshan University, Qinhuangdao, China, in 2012. She is currently working toward the Ph.D degree in electrical engineering. Her research interests is in nonlinear time-delay system control, multi-agent systems. 

Xinping Guan received the B.S. degree in mathematics from Harbin Normal University, Harbin, China, and the M.S. degree in applied mathematics and the Ph.D. degree in electrical engineering, both from Harbin Institute of Technology, in 1986, 1991, and 1999, respectively. He is with the Department of Automation, Shanghai Jiao Tong University. He is the (co)author of more than 200 papers in mathematical, technical journals, and conferences. As (a)an (co)-investigator, he has finished more than 20 projects supported by National Natural Science Foundation of China (NSFC), the National Education Committee Foundation of China, and other important foundations. He is Cheung Kong Scholars Programme Special appointment professor. His current research interests include networked control systems, robust control and intelligent control for complex systems and their applications. Dr. Guan is serving as a Reviewer of Mathematic Review of America, a Member of the Council of Chinese Artificial Intelligence Committee, and Chairman of Automation Society of Hebei Province, China.
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