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.