不完全匹配条件下分布时滞T-S模糊系统稳定性与镇定分析的新结果

Qianqian Ma, Li Li, Hongwei Xia, Mingyang Yang, G. Ma
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引用次数: 3

摘要

本文研究了包含分布时滞的T-S模糊模型系统的稳定性及稳定性分析问题。采用新的不完全前提匹配方法推导模糊控制器,与传统的PDC方法不同,该方法使所设计的模糊控制器和T-S模糊模型具有不同的隶属函数和规则数,从而具有较大的灵活性和较好的鲁棒性。此外,通过引入一个比现有不等式更紧的不等式,利用Lyapunov稳定性理论得到了基于松弛lmi的稳定性和镇定判据。最后,通过两个数值算例验证了所得结果的有效性。
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New results on stability and stabilization analyses for T-S fuzzy systems with distributed time-delay under imperfect premise matching
This paper investigates stability and stabilization analyses issue for T-S fuzzy-model-based systems involving distributed time-delay. The novel imperfect premise matching methodology is employed to derive fuzzy controller, unlike conventional PDC method, this novel technique allows the designed fuzzy controller and the T-S fuzzy model to have distinct membership functions and number of rules, as a result, great flexibility and better robustness can be achieved. Moreover, with the introduction of one novel inequality which is tighter than other existing ones, relaxed LMI-based stability and stabilization criteria are obtained in term of the Lyapunov stability theory. Lastly, two numerical examples are offered to prove the valadity of the derived results.
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