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ANALYSIS THE EFFECT OF UNDESIRABLE FACTORS ON STABILITY OF MODEL PREDICTIVE CONTROLLER

机译:分析不良因素对模型预测控制器稳定性的影响

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摘要

MPC also known as moving or receding horizon control, is a feedback control scheme that has originated in industry as a realtime computer control algorithm to solve linear and nonlinear multi-variable problems that have constraints and time delays. Since disturbances can drive model predictive control into non-convexity and instability this problem has attracted many researchers. The stability studies in this paper are illustrated in presence of colored noise, error in delay estimation, unstable and non-minimum phase system by means of numerical example. The simulation is carried out using an example, which is the main contribution of the paper.
机译:MPC也称为移动或后退水平控制,它是一种反馈控制方案,已作为一种实时计算机控制算法在工业上起源,用于解决具有约束和时间延迟的线性和非线性多变量问题。由于干扰会导致模型预测控制陷入非凸性和不稳定性,因此这个问题吸引了许多研究人员。本文通过数值例子说明了存在有色噪声,延迟估计误差,不稳定和非最小相位系统时的稳定性研究。仿真是通过一个例子进行的,这是本文的主要贡献。

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