基于LMI方法的非线性不确定时滞系统模糊控制器设计

L. Cao, Jinkun Liu
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引用次数: 0

摘要

本文利用Takagi-Sugeno (T-S)模糊模型方法建立了一类非线性不确定时滞系统的稳定性判据。T-S模糊模型是用模糊集和应用于一组线性子模型的模糊推理来描述一个非线性不确定系统。此外,还考虑了扰动上界已知和扰动上界未知两种情况。针对多时滞模糊互联系统的Lyapunov直接方法,提出了一种新的线性矩阵不等式(lmi)来求解该问题。最后,通过一个非线性时滞系统的算例说明了所提出的方法
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Fuzzy controller design for nonlinear uncertain system with time delay based on LMI approach
In this paper, Takagi-Sugeno (T-S) fuzzy model approach is exploited to establish stability criteria for a class of nonlinear uncertain systems with time delay. The T-S fuzzy model is used to describe a nonlinear uncertain system in terms of fuzzy sets and fuzzy reasoning applied to a set of linear sub models. Moreover the system is considered in two conditions: the upper bound of the disturbance is known and that unknown, respectively. In terms of Lyapunov's direct method for multiple time-delay fuzzy interconnected systems, a novel linear matrix inequalities (LMIs) will be utilized to solve the problem. Finally, the proposed methodology is illustrated by an example of a nonlinear system with time-delay
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