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Adaptive actuator failure compensation design for unknown chaotic multi‐input systems
Author(s) -
Tahoun A. H.
Publication year - 2015
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2488
Subject(s) - control theory (sociology) , actuator , compensation (psychology) , chaotic , lyapunov stability , adaptive control , computer science , stability (learning theory) , chaotic systems , lyapunov function , scheme (mathematics) , control engineering , controller (irrigation) , control (management) , engineering , nonlinear system , mathematics , artificial intelligence , machine learning , psychology , mathematical analysis , physics , quantum mechanics , psychoanalysis , agronomy , biology
Summary In this paper, an adaptive control approach is designed for compensating the faults in the actuators of chaotic systems and maintaining the acceptable system stability. We propose a state‐feedback model reference adaptive control scheme for unknown chaotic multi‐input systems. Only the dimensions of the chaotic systems are required to be known. Based on Lyapunov stability theory, new adaptive control laws are synthesized to accommodate actuator failures and system nonlinearities. An illustrative example is studied. The simulation results show the effectiveness of the design method. Copyright © 2014 John Wiley & Sons, Ltd.