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In this paper, an operator-based robust perfect control for nonlinear semiconductor refrigeration device with uncertainties is considered. For the research about the properties of the semiconductor refrigeration, an aluminum plate with Peltier device is very representative. So, the perfect tracking control performance is investigated by using this device. The robust right coprime factorization approach...
In this paper, operator-based robust perfect control for nonlinear semiconductor refrigeration device with uncertainties is considered. For the research about the properties of the semiconductor refrigeration, an aluminum plate with Peltier device is very representative. So, the perfect tracking control performance is studied by using this device. The robust right coprime factorization approach is...
This work focuses on robust nonlinear control design of a robot arm with micro-hand by using operator-based robust right coprirne factorization (RRCF) approach. In detail, to control the precise endpoint position of robot arm and obtain the desired force using micro-hand according to the external environment or task involved, a connected feedback control system based on operator-based RRCF approach...
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...
In this paper, operator-based robust nonlinear control design is proposed for a crane experimental system with constraint inputs. The swing cable of the crane system is driven by a linear motor, where the driven force input of the linear motor is with limitations. The angle of the swing cable is estimated by using SVM-based model such that there exist some uncertainties between estimated value and...
In this paper, a nonlinear robust control scheme is considered for a planar gantry crane system. The influence of motion friction and viscous friction of the linear motor and viscous friction of the cable is investigated under different operating conditions. Then, the Lagrange motion equation of the planar gantry crane is setup, which can be described as a nonlinear dynamic model. For this system,...
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