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Robust predictive control for a class of uncertain discrete system with multiple state delays

机译:具有多种状态延迟的一类不确定离散系统的强大预测控制

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A robust predictive control algorithm based on memory state feedback is proposed for a class of uncertain discrete time system with input constraint and multiple state delays. By introducing Lyapunov-Krasovskii function and using linear matrix inequality (LMI) method, the algorithm can convert the infinite time domain optimization problems into linear programming problems. Sufficient conditions of the existence and explicit expression for the memory state feedback controller are obtained, and the control input can satisfy constraint as well. Asymptotical stability of the closed-loop system and minimum of robust performance index can be guaranteed simultaneously. Finally, the simulation results illustrate the effectiveness of the proposed algorithm.
机译:提出了一种基于存储器状态反馈的鲁棒预测控制算法,用于一类具有输入约束的不确定离散时间系统和多个状态延迟。通过介绍Lyapunov-Krasovskii功能并使用线性矩阵不等式(LMI)方法,该算法可以将无限时域优化问题转换为线性编程问题。获得了对存储状态反馈控制器的存在和显式表达式的充分条件,并且控制输入也可以满足约束。可以同时保证闭环系统的渐近稳定性和最小的鲁棒性能指标。最后,仿真结果说明了所提出的算法的有效性。

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