Nonfragile H∞ Filtering for Discrete-time T-S Fuzzy Systems

摘要：

This paper is concerned with the problem of nonfragile H∞ filtering for discrete-time nonlinear systems in Takagi- Sugeno’s form. Additive interval uncertainty which reflects imprecision in filter implementation due to finite word length effects is considered. Based on vertex theory and probabilistic robust approach, deterministic and randomized filtering algorithms are proposed, respectively. Compared with the deterministic algorithm, advantages of the randomized algorithm are mainly two-fold. First, it has acceptable computational complexity, especially for high-dimensional systems. And second, it reduces the design conservatism. An example about diode-tunnel circuit is given to illustrate the effectiveness of the proposed method.

关键词： Nonfragile Filtering T-S fuzzy systems

作者: Da-Wei Ding Xiaoli Li Zhiguo Shi Xianggui Guo

作者单位: School of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing School of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing School of Computer & Communication Engineering, University of Science and Technology Beijing, Beijin School of Electrical Engineering, Tianjin University of Technology, Tianjin 300384, China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 3552-3557

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）