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Observer-based robust predictive control of singular systems with time-delay and parameter uncertainties

机译:具有时滞和参数不确定性的奇异系统基于观测器的鲁棒预测控制

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The problem of observer-based robust predictive control is studied for the singular systems with norm-bounded uncertainties and time-delay, and the design method of robust predictive observer-based controller is proposed. By constructing the Lyapunov function with the error terms, the infinite time domain “min-max” optimization problems are converted into convex optimization problems solving by the linear matrix inequality (LMI), and the sufficient conditions for the existence of this control are derived. It is proved that the robust stability of the closed-loop singular systems can be guaranteed by the initial feasible solutions of the optimization problems, and the regular and the impulse-free of the singular systems are also guaranteed. A simulation example illustrates the efficiency of this method.
机译:研究了具有范数界不确定性和时滞的奇异系统的基于观测器的鲁棒预测控制问题,提出了基于鲁棒预测的基于观测器的控制器的设计方法。通过使用误差项构造Lyapunov函数,可以将无限时域的“最小-最大”优化问题转换为通过线性矩阵不等式(LMI)求解的凸优化问题,并得出存在该控制的充分条件。证明了通过优化问题的初始可行解可以保证闭环奇异系统的鲁棒稳定性,并且还保证了奇异系统的有规律性和无脉冲性。仿真示例说明了该方法的效率。

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