一种新的参数相关Lyapunov函数鲁棒控制方法

Cheng-Chang Ho, Y. Chou, F. Chang
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引用次数: 1

摘要

本文推广了已有的关于连续时间T-S (Takagi-Sugeno)模糊系统H∞控制的研究结果。为了保证系统的稳定性和H∞性能,提出了一种新的模糊Lyapunov函数。此外,引入两个松弛变量,为H∞控制问题的解空间提供额外的自由维度。这与模糊Lyapunov函数提供的自由度一起直接导致性能的提高和保守性的降低。最后以倒立摆小车系统为例,验证了该方法的有效性。并与现有的几种方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new parameter-dependent Lyapunov function approach for robust control
In this paper, we extends the existing results on the H∞ control for continuous-time T-S (Takagi-Sugeno) fuzzy systems. A new fuzzy Lyapunov function is considered for ensuring system stability and guaranteed H∞ performance with parallel distributed compensation (PDC). In addition, two slack variables are introduced to provide extra free dimensions in the solution space for the H∞ control problem. This together with the freedom provided by the fuzzy Lyapunov function directly leads to performance improvement and reduction of conservativeness. A numerical example of the control of an inverted pendulum and cart system is given to demonstrate the effectiveness of the proposed method. Comparisons with some of the existing methods are provided.
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