Robust Predictive Control for a Class of Multiple Time Delay Uncertain Systems with Nonlinear Disturbance
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摘要: 针对一类具有非线性扰动且同时存在多重状态和输入时滞的不确定系统, 提出 一种鲁棒预测控制器设计方法. 基于预测控制滚动优化原理, 运用Lyapunov稳定性 理论和线性矩阵不等式 (Linear matrix inequalities, LMIs)方法, 首先近似求解无限时域二次性能指标优化问题, 然后优化非 线性扰动项所应满足的最大上界, 定量地研究鲁棒预测控制在范数有界意义下的扰动抑制 问题, 并给出了鲁棒预测控制器存在的充分条件. 最后通过仿真验证了所提方法的有效性.Abstract: The design method of robust model predictive controller (RMPC) is proposed for a class of uncertain multiple state and input time-delay systems with nonlinear disturbance. Based on the predictive control principle of receding optimization, the quadratic performance index of the infinite time domain is optimized by means of Lyapunov stable theory and linear matrix inequalities (LMIs) technique. Then the disturbance rejection of the robust model predictive control in the sense of norm-bounded is studied by optimizing the maximum upper bound met by nonlinear disturbance. Sufficient conditions of the robust predictive controller are given. Finally, simulation results illustrate the effectiveness of the proposed method.
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