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Full Description
This book proposes an integrated design method for intelligent adaptive controllers to overcome the negative effects of various constraints on nonlinear systems and nonlinear multiagent systems in practical applications. The book rigorously provides problem analysis, controller design, and stability theory. In addition, numerous simulation examples are given to demonstrate the validity of the corresponding intelligent control methods, and the simulation results are illustrated in detail with graphs and tables. The methods proposed in this book eliminate some limitations of existing control methods in nonlinear systems and nonlinear multiagent systems with complex constraints and broaden the practical applications of intelligent control methods in industrial automation.
Contents
Introduction.- Prescribed Performance Control with Actuator Failures.- Approximation-Based Nussbaum Gain Adaptive Control with Periodic Disturbances.- Adaptive Dynamic Event-Triggered Control Using Disturbance Observer.- Adaptive Fuzzy Control with Output Constraint.