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Quantized adaptive decentralized control for a class of interconnected nonlinear systems with hysteretic actuators faults

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2018

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Universidad de Bogotá Jorge Tadeo Lozano

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In this paper, a quantized adaptive decentralized output feedback control is proposed for a class of interconnected nonlinear systems with quantized input and possible number of hysteretic actuators failure up to in nity. The hysteretic actuators nonlinearities are described by the Prandtl-Ishlinskii model. In order to compensate the effects of the possible number of the hysteretic actuators failures up to in nity and input quantization, a modi ed backstepping approach is proposed by utilizing the high-gain k- lters, hyperbolic tangent function property, and bound estimation approach. It is proved both mathematically and by numerical simulations that using the proposed controller, all the signals of the closed-loop system are globally bounded despite of the input quantization and possible number of hysteretic actuators failures up to in nity.

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Adaptive control, Hysteretic actuator failures, Interconnected systems, Output feedback, Quantization

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