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Intelligent Adaptive Cooperative Control for Complex Nonlinear Systems
- 1st Edition - December 1, 2099
- Authors: Hongjing Liang, Liang Cao, Hong Xue, Yingnan Pan
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 6 1 6 2 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 6 1 6 3 - 6
Intelligent Adaptive Cooperative Control for Complex Nonlinear Systems introduces new intelligent adaptive control strategies for solving problems that occur in external distur… Read more
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Request a sales quoteIntelligent Adaptive Cooperative Control for Complex Nonlinear Systems introduces new intelligent adaptive control strategies for solving problems that occur in external disturbances, faults, communication burden, input saturation, dead zone and unmeasured states. The book focuses on intelligent adaptive cooperative control for stochastic systems and semi-Markov jump systems and systematically introduces basic theory and methods. The valuable resource promotes the development of intelligent adaptive cooperative control for complex nonlinear systems, and is a useful resource for researchers, scholars, engineering experts and graduate students in the field of intelligent control, control and mathematics, industrial mathematics, mechatronics and engineering.
- Covers intelligent adaptive control in both stochastic systems and semi-markov jump systems, introducing the basic theory and method of intelligent adaptive control systematically
- Presents an analysis of multiagent systems under external disturbances, faults and communication burdens and develops disturbance compensation, fault-tolerant control and event-triggered control strategies
- Helps users design adaptive compensation control technologies for complex dynamical systems with state constraint, output constraint and error constraint
Researchers, scholars, engineering experts, and graduate students in the field of intelligent control, control and mathematics, industrial mathematics, and engineering and information
Chapter 1. Introduction1.1 Intelligent adaptive cooperative control1.2 Fuzzy Control1.3 Neural Networks1.4 Graph Theory1.4.1 Directed Graph1.4.2 Undirected Graph1.5 Publication OutlineChapter 2. Adaptive NN Finite-Time Control of Constrained Nonlinear Systems2.1 Introduction2.2 Problem Formulation and Preliminaries2.3 Controller Design-based Barrier Lyapunov Functions2.4 Simulation Results2.5 ConclusionChapter 3. Observer-Based Adaptive Fuzzy Control for State Constrained Nonlinear Systems3.1 Introduction3.2 Problem Formulation and Preliminaries3.2.1 System Model3.2.2 Fuzzy State Observer Design3.3 Controller Design and Stability Analysis3.3.1 Controller Design3.3.2 Stability Analysis3.4 Simulation Results3.5 ConclusionChapter 4. Event-Triggered Adaptive Tracking Control for Non-affine Systems4.1 Introduction4.2 Problem Formulation and Preliminaries4.2.1 Basic Graph Theory4.2.2 Problem Formulation4.2.3 Radial Basis Function Neural Networks4.2.4 Error Transformation Based Design4.3 Control Law Design And Stability Analysis4.4 Simulation Results4.5 ConclusionChapter 5. Adaptive Control for multiagent Systems with Unknown Control Directions5.1 Introduction5.2 Problem Formulation and Preliminaries5.2.1 Algebraic Graph Theory5.2.2 Problem Formulation5.2.3 Radial Basis Function Neural Networks5.3 Distributed Adaptive Controllers Design5.4 Stability analysis5.5 Simulation Results5.6 ConclusionsChapter 6 Event-Triggered Adaptive Control for multiagent Systems with Disturbances6.1 Introduction6.2 Problem Formulation and Preliminaries6.2.1 Algebraic Graph Theory6.2.2 RBF Neural Networks6.2.3 System Model6.3 Disturbance Observer Design6.4 Distributed consensus controller design and Stability analysis6.5 Simulation Results6.6 ConclusionChapter 7 Adaptive Fuzzy Containment Control with Unknown Disturbances7.1 Introduction7.2 Problem Formulation and Preliminaries7.2.1 Algebraic Graph Theory7.2.2 System Model7.2.3 Prescribed Performance7.2.4 Fuzzy Logic Systems (FLSs)7.2.5 Disturbance Observer Design7.2.6 Nussbaum Function Properties7.3 Distributed Adaptive Controllers Design7.3.1 Adaptive Containment Control Scheme7.4 Stability Analysis7.5 Simulation Results7.5.1 Numerical Example7.5.2 Multiple Single-Link Robot Manipulator Systems (SLRMSs)7.6 ConclusionChapter 8. Adaptive Control for Nonlinear Strict-Feedback Stochastic Systems8.1 Introduction8.2 Problem Formulation and Preliminaries8.2.1 Stochastic Stability Analysis8.2.2 System Model8.2.3 Fuzzy Logic Systems (FLSs)8.2.4 Barrier Lyapunov function8.3 Control Design and Stability Analysis8.3.1 Observer design8.3.2 Stability analysis8.4 Simulation Results8.5 ConclusionChapter 9. Cooperative Fault-Tolerant Control for Stochastic Nonlinear Systems9.1 Introduction9.2 Problem Formulation and Preliminaries9.2.1 Algebraic Graph Theory9.2.2 System Model9.2.3 Problem Statement9.2.4 FNNs Approximation Property9.3 Solution of Distributed Adaptive Controller Design Problem9.4 Simulation Results9.5 ConclusionChapter. 10 Dynamic Surface Control for Stochastic Nonlinear Systems10.1 Introduction10.2 Problem Formulation and Preliminaries10.2.1 Algebraic Graph Theory10.2.2 System Model10.2.3 Problem Statement10.3 Distributed Adaptive Controller Design10.4 Stability Analysis of Stochastic Nonlinear Systems10.5 Simulation Results10.6 ConclusionChapter 11. Fault Detection for Semi-Markov jump systems11.1 Introduction11.2 Problem Formulation and Preliminaries11.2.1 System Model11.2.2 Adaptive Event-Triggered Scheme11.2.3 Output Quantization11.2.4 Fault Detection Filter Design and Fault Detection System Model11.3 Solution of Fault Detection Problem11.4 Simulation Results11.5 ConclusionChapter 12. Adaptive Fuzzy Bipartite Tracking Control for Stochastic Nonlinear Systems12.1 Introduction12.2 Problem Formulation and Preliminaries12.2.1 Algebraic Graph Theory12.2.2 System Model12.2.3 Problem Statement12.3 Solution of Adaptive Fuzzy Bipartite Tracking Control Problem12.4 Stability Analysis for Stochastic Nonlinear Systems12.5 Simulation Results12.6 ConclusionReferences
- No. of pages: 330
- Language: English
- Edition: 1
- Published: December 1, 2099
- Imprint: Academic Press
- Paperback ISBN: 9780443161629
- eBook ISBN: 9780443161636
HL
Hongjing Liang
Hongjing Liang received his B.S. degree in mathematics from Bohai University, Jinzhou, and the M.S. degree in fundamental mathematics and Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China. He is currently an associate professor with Bohai University. His research interests include adaptive control, fuzzy control, multiagent systems, and their applications. Dr. Liang was recipient of the Best Paper Award in Theory from ICCSS 2017 and Outstanding Reviewer Award of CAA/Automatica Sinica 2019. He has been on the editorial board of Fluctuation and Noise Letters. He is a member of the Chinese Association of Automation.
Affiliations and expertise
Associate Professor, College of Control Science and Engineering, Bohai University, Jinzhou, ChinaLC
Liang Cao
Liang Cao received the Ph.D. degree in control science and engineering from Guangdong University of Technology in 2019. His research interests include intelligent control and adaptive control for nonlinear systems.
Affiliations and expertise
College of Mathematical Science, Bohai University, Jinzhou, ChinaHX
Hong Xue
Hong Xue received her B.S. degree in mathematics from Bohai University, Jinzhou, China, where is she currently a lecturer. She obtained her M.S. degree in system theory from the Institute of Complexity Science, Qingdao University, Qingdao, China. Her current research interests include adaptive control as well as fuzzy control and their applications.
Affiliations and expertise
College of Mathematical Science, Bohai University, Jinzhou, ChinaYP
Yingnan Pan
Yingnan Pan received his B.S. degree in mathematics and applied mathematics and the M.S. degree in applied mathematics from Bohai University, Jinzhou, China, and Ph.D. degree in navigation guidance and control from Northeastern University, Shenyang, China. He is currently a lecturer at Bohai University. His research interests include fuzzy control, robust control, and event-triggered control and their applications.
Affiliations and expertise
College of Control Science and Engineering, Bohai University, Jinzhou, China