基于拉盖尔函数的非线性系统多模型预测控制

Xiaoli Li, Xiang Yu, Yao Wang, Shangjun Wang
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引用次数: 1

摘要

提出了基于拉盖尔函数的多重线性模型来覆盖非线性离散时间系统的不确定性。在此基础上,提出了一种多模型预测控制器。利用指标切换函数,可以通过模型间的切换来改善暂态响应。仿真结果表明,本文所提出的控制器的有效性得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Laguerre function based multiple model predictive control for nonlinear system
Multiple linear models based laguerre function are provided to cover the uncertainty of a nonlinear discrete time system. Based on these models, a multiple model predictive controller is given. By using an index switching function, the transient response can be improved due to the switching among different models. From the result of simulation, the effectiveness of the controller proposed in this paper can be tested.
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