Robust Adaptive Control of Nonlinear Interconnected Systems with Input Nonlinearities and Faults

Erscheinungsjahr 2026
ISBN: 978-981-952180-7
Verlag: Springer

Buch, Englisch, Band 23, 196 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 492 g

Reihe: Intelligent Control and Learning Systems

This book provides recent theoretical results and applications of the fault-tolerant control for the nonlinear interconnected systems with input nonlinearities. Combining adaptive control technique and fuzzy logic systems with other control approaches or techniques, it investigates the fault-tolerant control problem of the nonlinear interconnected systems, and constructs fault-tolerant control schemes. It intends to provide the readers a good understanding on adaptive fault-tolerant control of the nonlinear interconnected systems with input nonlinearities. This book can serve as a reference for the main research issues and results on nonlinear interconnected systems with input nonlinearities for researchers devoting to various areas of fault-tolerant control theory, as well as a material for graduate and undergraduate students interested in nonlinear system control, especially fault-tolerant control, and their applications. Some prerequisites for reading this book include nonlinear system theory, knowledge and theory related to algebraic geometry, and so on.

Zielgruppe

Research

Autoren/Hrsg.

Shen, Qikun

Zhu, Jiyu

Gong, Jianye

Yang, Yadong

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Preface.- Chapter 1 Introduction.- Chapter 2 Fuzzy-Logic-Systems-Based Fault-Tolerant Adaptive Control Against Unknown Dead-Zone.- Chapter 3 Sliding Mode Fault-Tolerant Adaptive Control Against Unknown Nonlinear Dead-zone and Time Delays.- Chapter 4 Fuzzy-Logic-Systems-Based Decentralized Fault-Tolerant Adaptive Control Against Unknown Time Delays and Backlash-Like Hysteresis.- Chapter 5 Fuzzy-Logic-Systems-Based Decentralized Fault-Tolerant Adaptive Control Against Sector Input Nonlinearity and Unknown Input Powers.- Chapter 6 Fuzzy-Logic-Systems-Based Decentralized Finite-Time Fault-Tolerant Adaptive Control with Input Saturation and Unknown Time Invariant Input Powers.- Chapter 7 Fault-Tolerant Adaptive Control Against Unknown Dead-Zone and Time-Varying Input Powers.- Chapter 8 Conclusion and Future Research Directions.

Über Autor(innen)

Dr. Qikun Shen received the B.Sc. degree in computer science and applications from the Chinese University of Mining and Technology, Xuzhou, China, in 1996, the M.Sc. degree in computer science and applications from Yangzhou University, Yangzhou, China, in 2007, and the Ph.D. degree in control theorem and control applications from the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2015.

Dr. Shen is currently a Professor with the College of Information Engineering, Yangzhou University. His current research interests include distributed control, consensus control, fault-tolerant control, adaptive control, fuzzy control, neural networks-based control, and intelligent control.

Jiyu Zhu received the M.S. degree in control theory and control engineering from Yangzhou University, Yangzhou, China, in 2024. He is currently pursuing a doctoral degree with the School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China.

His research interests include fault-tolerant control of interconnected systems and their applications.

Dr. Jianye Gong received the Ph.D. degree in control theory and control engineering from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2023. He is currently a Lecturer Fellow with the College of Information Engineering, Yangzhou University, Yangzhou, China. His research interests include adaptive fault diagnosis and fault-tolerant control of multi-agent systems and their applications.

Yadong Yang received the M.E. degree in software engineering from Anqing Normal University, Anqing, China, in 2023. He is currently pursuing the Ph.D. degree in software engineering with Yangzhou University, Yangzhou, China. His current research interests include adaptive control, fault tolerant control, and networked control systems.