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Adaptive preview control for piecewise discrete-time systems using multiple models

机译:使用多个模型的分段离散时间系统的自适应预览控制

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In this paper, the problem of multi-model adaptive preview control is proposed for discrete-time systems with unknown piecewise constant coefficients. Following preview control theory, corresponding augmented error systems for piecewise discrete-time systems are constructed. By making use of the Heine-Borel covering theorem, a finite set of fixed augmented systems covering the range of the unknown parameters is established, and associated fixed preview controllers are derived. Based on the core idea of multi-model adaptive control, switching law of the controllers is designed, and eventually, an adaptive preview controller is obtained. The exponential asymptotic stability of closed-loop systems with large uncertainties is discussed in detail. Finally, simulation results are given to demonstrate the effectiveness of the theoretical results.
机译:针对离散时间常数未知的离散时间系统,提出了多模型自适应预览控制的问题。遵循预见控制理论,构建了分段离散时间系统的相应扩展误差系统。通过利用Heine-Borel覆盖定理,建立了覆盖未知参数范围的固定扩充系统的有限集,并派生了相关的固定预览控制器。基于多模型自适应控制的核心思想,设计了控制器的切换规律,最终获得了自适应预览控制器。详细讨论了具有较大不确定性的闭环系统的指数渐近稳定性。最后,仿真结果证明了理论结果的有效性。

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