Robust model predictive control of discrete-time delayed positive systems

Hamed Mehrivash, M. Shafiei
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引用次数: 2

Abstract

This paper investigates a Robust Model Predictive Control (RMPC) for interval discrete-time linear positive systems with time-delays. A transformation is applied to the interval linear time-delay positive system to turn it into an interval linear positive system without delay. Then a single-step linear programming-based robust model predictive controller with dynamic feedback is employed to optimally stabilize the system. All the stability conditions are in a form that can be solved by linprog Toolbox in Matlab which is more effective than LMIs for positive systems. Meanwhile, in the proposed method computational burden (off-line and on-line) is very low. Finally an illustrative example is presented to show the effectiveness of the proposed method.
离散时滞正系统鲁棒模型预测控制
研究了具有时滞的区间离散线性正系统的鲁棒模型预测控制。对区间线性时滞正系统进行变换,使其成为无时滞的区间线性正系统。然后采用基于单步线性规划的动态反馈鲁棒模型预测控制器实现系统的最优稳定。所有的稳定性条件都可以用Matlab中的linprog工具箱求解,对于正系统,这比lmi更有效。同时,该方法的计算量(离线和在线)都很低。最后通过一个算例验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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