一类非线性系统的模糊镇定控制

2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 2012-06-01 DOI:10.1109/SAMI.2012.6209021

D. Krokavec, A. Filasová, V. Hladký

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引用次数: 6

摘要

本文给出了以Takagi-Sugeno模型为代表的一类连续非线性系统的稳定控制器设计的新条件和可测量的前提变量。基于一个增强的Lyapunov不等式，用线性矩阵不等式的形式给出了具有最优渐近性质的稳定结构的条件。仿真结果说明了设计过程，并验证了所提控制设计方法的基本性能。

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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Stabilizing fuzzy control for a class of nonlinear systems

The paper presents new conditions suitable in design of a stabilizing controller for a class of continuous-time nonlinear systems represented by Takagi-Sugeno models, and measurable premise variables. Based on an enhanced Lyapunov inequality, the conditions are outlined in the terms of linear matrix inequalities to possess a stable structure closest to optimal asymptotic properties. Simulation results illustrate the design procedure and demonstrate the basic performances of the proposed control design method.

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2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI)

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