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基于时滞仿射Takagi-Sugeno模糊模型的非线性离散控制系统综合

Synthesis of nonlinear discrete control systems via time-delay affine Takagi-Sugeno fuzzy models.

作者信息

Chang Wen-Jer, Chang Wei

机构信息

Department of Marine Engineering, National Taiwan Ocean University, Keelung 202, Taiwan, ROC.

出版信息

ISA Trans. 2005 Apr;44(2):243-57. doi: 10.1016/s0019-0578(07)90002-6.

Abstract

The affine Takagi-Sugeno (TS) fuzzy model played a more important role in nonlinear control because it can be used to approximate the nonlinear systems more than the homogeneous TS fuzzy models. Besides, it is known that the time delays exist in physical systems and the previous works did not consider the time delay effects in the analysis of affine TS fuzzy models. Hence a parallel distributed compensation based fuzzy controller design issue for discrete time-delay affine TS fuzzy models is considered in this paper. The time-delay effect is considered in the discrete affine TS fuzzy models and the stabilization issue is developed for the nonlinear time-delay systems. Finally, a numerical simulation for a time-delayed nonlinear truck-trailer system is given to show the applications of the present approach.

摘要

仿射Takagi-Sugeno(TS)模糊模型在非线性控制中发挥着更重要的作用,因为与齐次TS模糊模型相比,它能更好地逼近非线性系统。此外,众所周知,物理系统中存在时间延迟,而以往的工作在仿射TS模糊模型分析中未考虑时间延迟效应。因此,本文考虑了离散时滞仿射TS模糊模型基于并行分布补偿的模糊控制器设计问题。在离散仿射TS模糊模型中考虑了时间延迟效应,并针对非线性时滞系统开展了稳定性问题研究。最后,给出了一个时滞非线性卡车-拖车系统的数值仿真,以展示本方法的应用。

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