Fuzzy Control for Nonlinear Delayed Distributed Parameter Systems

Erscheinungsjahr 2027
ISBN: 978-981-9273-04-1
Verlag: Springer

Buch, Englisch, 200 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Intelligent Control and Learning Systems

This book offers a comprehensive treatment of fuzzy control for nonlinear delayed distributed parameter systems (NDDPSs), which frequently arise in engineering processes governed by partial differential equations. Addressing the challenges of infinite-dimensional dynamics, time delays, and nonlinearities, it presents systematic methods for stability analysis and controller design within the Takagi–Sugeno (T–S) fuzzy framework.

Topics include control strategies under point and local measurements, boundary and dynamic output feedback control, fault-tolerant and robust H8 designs, and extensions to parabolic and hyperbolic PDE systems. Each chapter combines rigorous theoretical foundations—such as Lyapunov functionals and linear matrix inequalities (LMIs)—with illustrative numerical examples, offering both analytical depth and practical guidance.

Designed for researchers, engineers, and graduate students in control theory and intelligent systems, this book serves as a valuable reference for understanding advanced fuzzy control techniques and their application to complex distributed parameter systems.

Zielgruppe

Research

Autoren/Hrsg.

Wang, Zi-Peng

Zhang, Xu

Wu, Huai-Ning

Qiao, Junfei

Huang, Tingwen

Fachgebiete

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

Inhaltsverzeichnis

Introduction.- FC for NDDPSs under spatially point measurements.- FC under spatially local averaged measurements for NDDPSs.- Spatially local piecewise FC for NDDPSs with random packet losses.- Fuzzy BC for NDDPSs under boundary measurements.- Dynamic fuzzy boundary output feedback control for NDDPSs under NCBM.- Fuzzy fault-tolerant BC for NDDPSs with stochastic actuator failures.- Robust non-fragile FC for uncertain nonlinear delayed hyperbolic DPSs.- Fuzzy BC for nonlinear delayed second-order hyperbolic DPSs.

Über Autor(innen)

Zi-Peng Wang (Senior Member, IEEE) received the Ph.D. degree in control theory and control engineering from Beihang University, Beijing, China, in 2017. From July 2017 to August 2022, he was an associate professor with the School of Electrical Engineering, University of Jinan, Jinan, China. In September 2022, he joined the Faculty of Information Technology, Beijing University of Technology, Beijing. In 2016, he was a research assistant with the City University of Hong Kong, Kowloon Tong, Hong Kong, for six months. From December 2019 to January 2020, he was a postdoctoral research associate with Texas A&M University at Qatar, Doha, Qatar. His current research interests include robust control and filtering, fuzzy modeling and control, secure control, discontinuous control systems, networked control systems, distributed parameter systems, and neural networks.