Optimal Control of Nonlinear Systems via T-S Fuzzy Model

摘要：

In this article, nonlinear systems are described by T-S fuzzy models, by which controlling nonlinear systems is converted into controlling a series of partial linear systems. In order to control every partial linear system, an optimal control scheme is proposed and thus the problem of controlling nonlinear systems is resolved. The ability of the proposed control method in stabilizing the unstable periodic orbits of the nonlinear systems is analytically proved and the effectiveness of the method is numerically illustrated by implementing it to the chaotic Lorenz system and the chaotic RSssler system.

关键词： TS fuzzy model optimal control nonlinear systems Lorenz system Rossler system.

作者: Li Liu Xiulong Li

作者单位: School of Electrical Engineering,Yanshan University,Qinhuangdao,China,066004

会议类型: 国际会议

会议名称: 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics(第二届智能人机系统与控制论国际学术会议 IHMSC 2010)

会议地点: 南京

会议语种:英文

页码: 325-328

在线出版日期: 2010-08-26（万方平台首次上网日期，不代表论文的发表时间）