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In this paper, a sliding mode control method for cement combined grinding system via least square modeling is proposed, aiming at the problem of cement combined grinding system control. Through analyzing production process, the material feeding quantity and weighing bin material level are selected to be the input and output variable for modeling respectively. Then, the model is established by least...
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...
In this article, a robust nonlinear tracking control design for ionic polymer metal composite (IPMC) with uncertainties is presented by using particle swarm optimization (PSO) based sliding mode approach. In detail, for a nonlinear dynamic model with uncertainties, an IPMC artificial muscles position tracking control system based on sliding mode control approach is presented, where, a saturation function...
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