Brief paper: Adaptive tracking of nonlinear systems with non-symmetric dead-zone input
Automatica (Journal of IFAC)
Adaptive fuzzy dead-zone control for unknown nonlinear systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
Automatica (Journal of IFAC)
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Simultaneous state and dead-zone parameter estimation using high-gain observers
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Information Sciences: an International Journal
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A deadzone compensator is designed for a DC motor system using a fuzzy logic controller. The classification property of fuzzy logic systems makes them a natural candidate for the rejection of errors induced by the deadzone, which has regions in which it behaves differently. A tuning algorithm is given for the fuzzy logic parameters, so that the deadzone compensation scheme becomes adaptive, guaranteeing small tracking errors and bounded parameter estimates. Formal nonlinear stability proofs are given to show that the tracking error is small. The fuzzy logic deadzone compensator is implemented on a DC motor system to show its efficacy