The use of convex programming on fuzzy model based predictive control

J. Espinosa, J. Vandewalle
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引用次数: 4

Abstract

Some key ideas about the use of fuzzy models in predictive control are presented. The discussion is extended to the use of interior point methods to solve the optimization problem in predictive control problems. The use of interior point methods opens the door to the formulation of robust optimization problems and by using this formulation a robust model predictive control strategy can be formulated. The paper shows such a formulation and explains how the Takagi-Sugeno description of a fuzzy model can be very efficient to formulate the uncertainties.
利用凸规划对模糊模型进行预测控制
提出了模糊模型在预测控制中应用的几个关键思想。将讨论扩展到利用内点法求解预测控制问题中的优化问题。内点法的使用为鲁棒优化问题的表述打开了大门,并利用该表述可以制定鲁棒模型预测控制策略。本文给出了这样一个公式,并解释了模糊模型的Takagi-Sugeno描述如何能够非常有效地表达不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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