Stability analysis of sampled-data fuzzy-model-based control systems
作者： Hak-Keung Lam , E W S Chan
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摘要: This paper presents the stability analysis of sampled-data fuzzy-model-based control systems. To investigate system stability, a T-S fuzzy model is employed to represent nonlinear system. A controller close feedback loop. Due sampling activity controller, discontinuity introduced which complicates analysis. Consequently, existing approach for continuous-time systems cannot be applied. Furthermore, imperfectly matched grades membership lead favourable technique relaxing result not applicable. facilitate systems, function condition proposed introduce some slack matrices nonlinearity compensation. LMI-based conditions are derived using Lyapunov-based guarantee stability. An application example given illustrate merits approach.
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