Research on linear quadratic robust control algorithm for non-stochastic uncertain system

Jiaoru Huang, Jiayue Ma, F. Qian, Chaobo Chen, Xiaoru Song
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引用次数: 1

Abstract

A Linear Quadratic robust control algorithm is proposed for the system with non-stochastic uncertainties. In this paper, the uncertainties are the noises which lie in a bounded ellipsoid set. The assumption weakens the requirements of the known Gaussian distribution in the traditional Linear Quadratic Gaussian (LQG) control. Based on the linear characteristic of the system and robust optimization theory, the linear quadratic robust controller is designed. The simulation results show the effectiveness of the algorithm.
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非随机不确定系统线性二次型鲁棒控制算法研究
针对具有非随机不确定性的系统,提出了一种线性二次型鲁棒控制算法。在本文中,不确定性是指存在于有界椭球集中的噪声。这一假设削弱了传统线性二次高斯控制对已知高斯分布的要求。根据系统的线性特性和鲁棒优化理论,设计了线性二次型鲁棒控制器。仿真结果表明了该算法的有效性。
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