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A systematic design procedure using state-feedback Certainty Equivalence Adaptive Control (CEAC) technique is developed for linear plants and a class of nonlinear plants with unmatched uncertainty. It is shown that a reduced order observer and adaptive laws with normalization in conjunction with the CEAC law result in a stable overall system in the case of linear plants of any relative degree, and...
This paper deals with design of a nonlinear adaptive state feedback controller for a permanent magnet synchronous motor (PMSM). We firstly present an exact model knowledge controller that ensures the exponentially tracking of a time-varying velocity profile and after this, it is modified to an adaptive controller that satisfies the velocity tracking error signal converges to zero with small control...
Controller design for magnetic levitation systems is considered problematic due to the parametric uncertainties in mass, strong disturbance forces between the magnets, and noise effects inflowing from sensor, and input channels. In this paper, an LMI based solution is proposed for the position tracking problem of a magnetic levitation system in the presence of parametric uncertainties. Moreover the...
In this paper, we present Takagi-Sugeno (T-S) fuzzy logic control scheme for a class of large-scale time-varying uncertain systems. The proposed control scheme is comprised of a fuzzy system for the given system with uncertainties and a state feedback fuzzy controller. The parameters of the fuzzy system are updated by learning rules. The state feedback fuzzy controller is used to restrain the external...
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