Takagi-Sugeno互连描述子的模糊Lyapunov分散控制

D. Jabri, K. Guelton, N. Manamanni, M. Abdelkrim
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引用次数: 12

摘要

研究了由互连的Takagi-Sugeno模糊描述子组成的非线性系统的分散镇定问题。为了保证整个闭环系统的稳定性,采用了一组分散并联分布式补偿(PDC)控制器。然后利用模糊Lyapunov函数将稳定性条件导出为线性矩阵不等式(LMI)。然而,它包含了在实践中不可用的决策参数。因此,使用简单的假设将lmi转换为宽松的二次条件。最后,给出了一个数值例子来说明所提出的分散方法的有效性。
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Fuzzy Lyapunov decentralized control of Takagi-Sugeno interconnected descriptors
This paper deals with decentralized stabilization of nonlinear systems composed of interconnected Takagi-Sugeno fuzzy descriptors. To ensure the stability of the overall closed-loop system, a set of decentralized Parallel Distributed Compensations (PDC) controllers is employed. The stability conditions are then derived into Linear Matrix Inequalities (LMI) using a fuzzy Lyapunov function for less conservatism. Nevertheless, it contains decision parameters that are not available in practice. So the LMIs are casted into relaxed quadratic conditions using simple assumptions. Finally, a numerical example is proposed to illustrate the effectiveness of the suggested decentralized approach.
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