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In this paper, a robust nonlinear tracking control design for an ionic polymer metal composite (IPMC) is proposed by using a multi-objective particle swarm optimization-based robust right coprime factorization approach. Addressing the difficult in obtaining the PI control parameters (Kp, Ki) of the former proposed nonlinear robust tracking control system based on PI-based robust right coprime factorization...
In this paper, a robust nonlinear control design for ionic polymer metal composite (IPMC) with uncertainties is proposed by using artificial bee colony based-operator approach. In detail, first, for a nonlinear IPMC dynamic model with uncertainties, a robust control system based on operator based robust right coprime factorization (RRCF) approach is presented. Second, considering the unknown uncertain...
In this paper, a robust nonlinear tracking control design for an ionic polymer metal composite (IPMC) with uncertainties is proposed by using Neural Network based sliding mode approach. The IPMC, also called artificial muscle, is a novel smart polymer material, and many potential applications for low mass high displacement actuators in biomedical and robotic systems have been shown. In general, the...
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