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In this paper, an new on-line identification algorithm with dead-zone function is proposed for nonlinear systems identification via dynamic neural networks with different time-scales including the aspects of fast and slow phenomenon. The main contribution of the paper is that the Lyapunov function and singularly perturbed techniques are used to develop the on-line update laws for both dynamic neural...
An on-line identification algorithm via dynamic neural networks with different time-scales followed by controller design is proposed for the dynamic systems with nonlinearity and uncertainty in this paper. The main contribution of the paper is that the Lyapunov function analysis, singularly perturbed technique and sliding mode methodology are combined to develop the control laws for trajectory tracking...
An observer-based adaptive control scheme for piezoelectric actuators is proposed. In the developed method the classical Duhem model is adopted to describe the hysteresis exhibited in the piezoelectric actuators. Due to the unavailability of the hysteresis output, an observer-based adaptive controller, with incorporation of a pre-inversion neural network compensator for the purpose of mitigating the...
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