Brief paper: Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems
Automatica (Journal of IFAC)
Adaptive fuzzy output tracking control for a class of uncertain nonlinear systems
Fuzzy Sets and Systems
Combined adaptive fuzzy control for uncertain MIMO nonlinear systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
Fuzzy Sets and Systems
Adaptive fuzzy tracking control for a class of uncertain nonlinear systems
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Robust and adaptive backstepping control for nonlinear systems using fuzzy logic systems
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Output feedback adaptive robust NN control for a class of nonlinear discrete-time systems
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
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The problem of controlling a class of uncertain nonlinear systems to follow a reference trajectory is addressed. Fuzzy logic systems (FLSs) are used to approximate the unknown dynamics. Based on the a priori information, a nominal control implemented by FLSs is designed first, then a signal to compensate for both structured and unstructured uncertainties arising from the approximation is synthesized based on the Lyapunov method. The uncertainty bounds needed in the robust fuzzy control are adaptively tuned online. Exponential tracking to the reference trajectory up to a ultimately bounded error is achieved.