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Identification and Adaptive Control for Nonlinear Systems and Applications. Applied Mathematics in Control Engineering. Emerging Methodologies and Applications in Modelling, Identification and Control

  • Book
  • July 2022
  • Elsevier Science and Technology
  • ID: 5527255
Identification and Adaptive Control for Nonlinear Systems and Applications: Applied Mathematics in Control Engineering introduces nonlinear system concepts, system analysis, system control methods and applications in various fields. The major concepts in the book include comprehensive discussions on nonlinear systems stability analysis and the nonlinear systems control method, a stability analysis of complex nonlinear system with adaptive neural networks control, a description of nonlinear systems adaptive sliding mode controller design in complex nonlinear systems, and industrial applications. This book enables readers to understand the basic architectures of control science and engineering and master classical and advanced design methods for nonlinear systems.

Table of Contents

1. Basic Concepts
2. Nonlinear Systems Analysis Approach
3. Classical Nonlinear Systems Adaptive Control Methods
4. Advanced Nonlinear Systems Adaptive Controller Design
5. Nonlinear System Neural Networks Adaptive Control
6. Nonlinear System Adaptive Sliding Mode Control
7. Adaptive Finite Impulse Response Filter Design
8. Adaptive Synergetic Control for Quadrotor UAV
9. Adaptive Control for a 3-DOF Model Helicopter System
10. Aircraft Path Finite Time Planning

Authors

Jianhua Zhang Associate Professor, Hebei University of Science and Technology, Shijiazhuang, China. Jianhua Zhang. Associate professor in Hebei University of Science and Technology, Shijiazhuang, China. He obtained his BS degree from Jilin Normal University, China in 2003, his MS degree from Yanshan University, China in 2006 and his PhD from Yanshan University, China in 2011. His main research interests are in the areas of non-linear control systems, control systems design over network and intelligent control. Yang Li Lecturer, Institute of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China. Yang Li. Lecturer at the Institute of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China. She obtained her PhD from Yanshan University, China in 2014. She was a visiting student of the University of the West of England in 2012. Her main research interests are in the areas of sliding mode control, neural network control, time delay system and control applications. Qiang Chen Associated Professor, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. Qiang Chen. Associate professor in the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. He received the B.S. degree in measurement and control technology and instrumentation from Hebei Agricultural University, Baoding, China, in 2006 and the Ph.D. degree in control science and engineering from Beijing Institute of Technology, Beijing, China, in 2012. His research interests include neural networks, sliding mode control and adaptive learning control with applications to motion control systems.