Distributed Finite Horizon H∞-Consensus Filtering via Sensor Networks with Markov Switching Topology

摘要：

In this paper, the distributedH∞ consensus filter problems is investigated for a class of discrete time-varying nonlinear systems on a finite horizon. The topology structure of the sensor networks is assumed to be Markov switching and the missing measurements (packet dropouts) problem is also considered. A effective consensus filter design algorithm could be achieved by solving a group of recursive linear matrix inequalities (RLMI), which is dependent on the current system parameters, hence is suitable for online computation.

关键词： distributed H∞ consensus filtering missing measurement recursive linear inequalities Markov switching sensor networks

作者: SHANG Weike WANG Xin TANG Liang XI Hongsheng

作者单位: Department of Automation, University of Science and Technology of China, Hefei, Anhui Province, 2300 Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, Shanghai

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: 6183-6189

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）