Passive fuzzy controller design for a model car via discrete T-S fuzzy model with multiplicative noise

Wen‐Jer Chang, Min-Wei Chen, C. Ku
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引用次数: 10

Abstract

This paper deals with steering control problem of a computer simulated model car with fuzzy control approach. For simulating the real environment, the stochastic behavior of system is considered as multiplicative noise term. In addition, the external disturbance effect on system is also discussed for achieving attenuation performance by applying passivity theory. Through using the Takagi-Sugeno (T-S) fuzzy model approach, the stability problems of nonlinear system can be solved by linear control theory. Furthermore, the stability condition is derived by passivity theory and Lyapunov function for guaranteeing stability in sense of mean square. Besides, the fuzzy controller is carried out by concept of Parallel Distribution Compensator (PDC). Finally, the simulation results are proposed to show that the strictly input passivity and mean square stability of system can be achieved via the designed fuzzy controller.
利用带有乘性噪声的离散T-S模糊模型设计汽车模型的被动模糊控制器
本文用模糊控制方法研究了计算机仿真模型汽车的转向控制问题。为了模拟真实环境,将系统的随机行为视为乘性噪声项。此外,还讨论了外部干扰对系统的影响,利用无源性理论实现系统的衰减性能。利用Takagi-Sugeno (T-S)模糊模型方法,可以用线性控制理论解决非线性系统的稳定性问题。在此基础上,利用无源性理论和李雅普诺夫函数导出了保证均方意义上稳定性的稳定性条件。采用并联分布补偿器(PDC)的概念实现模糊控制。仿真结果表明,所设计的模糊控制器可以实现系统的严格输入无源性和均方稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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