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 H∞ 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.
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 H∞ 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.
Zi-Peng Wang
Distributed parameter systems partial differential equations nonlinear systems delayed systems fuzzy model Lyapunov Function fuzzy control boundary control linear matrix inequalities parabolic equation hyperbolic equation