采用LMI方法的基于模型的T-S模糊预测控制新方法

2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2014-12-01 DOI:10.1109/STA.2014.7086708

A. Zahaf, B. Boutamina, S. Bououden, S. Filali

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引用次数: 3

摘要

介绍了一种基于模型的T-S模糊预测控制LMI优化方法。离散T-S模糊预测控制器的目标是将系统状态驱动到原始状态，并保证控制器的稳定。采用李雅普诺夫函数的非二次型，采用非pdc控制器，研究了被控系统的稳定性。稳定性是基于lmi的条件来保证的。在每个采样时间都得到了最优解。结果表明了该策略的有效性。

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New approach of model based T-S fuzzy predictive control using LMI approach

In this work, a model based T-S fuzzy predictive control LMI optimization is introduced. The aim of discrete T-S fuzzy predictive controller is to drive the state of the system to the original state where a stabilizing controller is ensured. The stability of the controlled systems is studied using non quadratic case of the Lyapunov function and adopting of Non-PDC controller. The stability is guaranteed based on the conditions expressed of terms of LMIs. The optimal solution has been obtained at each sampling time. The results are shows the effectiveness of this strategy.

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2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

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