Event-triggered reliable H∞filter design for networked systems with multiple sensor distortions: A probabilistic partition approach.
In this paper, the problem of event-triggered reliable H∞filtering for networked systems with multiple sensor distortions is investigated. The interval of sensor distortion in each channel is partitioned several segments. By introducing a set of rand variables, the model of multiple sensor distortions with their information of probability distribution in each segment is established, which is more general than the one in open results. Furthermore, an event-triggered communication scheme is proposed to mitigate the utility of limited network bandwidth. Then a unified model with consideration of the event-triggered communication scheme and the sensor distortion is put forward. Based on this model, sufficient conditions of the mean square stability of the filtering error system and H∞filter parameters are achieved. Finally, a simulation example is exploited to demonstrate the effectiveness of the presented method.
College of Mechanical & Electronic Engineering, Nanjing Forestry University, Nanjing 210037, PR China. Electronic address: gzh1808@163.com.
Zhou
Z
Gu
College of Mechanical & Electronic Engineering, Nanjing Forestry University, Nanjing 210037, PR China.
Linghui
L
Yang
Institute of Information and Control Engineering Technology, Nanjing Normal University, Nanjing 210042, China.
Engang
E
Tian
College of Mechanical & Electronic Engineering, Nanjing Forestry University, Nanjing 210037, PR China.
Huan
H
Zhao
Event-triggered scheme; Filtering; Probabilistic partition