Bøger i Automation and Control Engineering serien

Reflecting the authors' experience in fuzzy control, this book describes the basic concepts for solving a great number of practical control problems. It focuses on hybrid, adaptive, and self-learning fuzzy control schemes that have proved to be superior in solving demanding nonlinear control problems.

Provides systematic design approaches for the identification, control, and recognition of nonlinear systems in uncertain environments. This book introduces the concepts of deterministic learning theory and then discusses the persistent excitation property of RBF networks.

Covers three major areas of control engineering (PID control, robust control, and optimal control). This book covers elegant mathematical theory and useful engineering-oriented results. It develops results relating to the design of PID and first-order controllers for continuous and discrete-time linear systems with possible delays.

Reflects the developments in estimation theory and design techniques. This book covers the robust Kalman filter, H-infinity filtering, and H-infinity filtering of discrete-time systems. It includes examples that highlight practical applications of the theory and concepts.

Provides coverage of linear, bilinear, and nonlinear optimal control algorithms for both continuous-time and discrete-time weakly coupled systems. This book presents numerous applications to real world systems from various industries, including aerospace, and discusses the design of subsystem-level optimal filters.

Examines trends in sliding mode control, methods to reduce the occurrence of chattering, stabilization techniques for optimal system performance, and comparisons among first-order sliding and higher-order sliding controllers. It discusses the effect of time delay on system behavior, adaptive control, and dynamical output controllers.