Title
Event-based multi-objective filtering for multi-rate time-varying systems with random sensor saturation.
Abstract
This paper focuses on the multi-objective filtering of multirate time-varying systems with random sensor saturations, where both the variance-constrained index and the H-infinity index are employed to evaluate the filtering performance. According to address issues, the high-frequency period of the internal state of the system is nondestructively converted to the low-frequency period, which determined by the measurement devices. Then the saturated output of multiple sensors is modeled as a sector bounded nonlinearity. At the same time, in order to reduce the communication frequency between sensors and filters, a communication scheduling rule is designed by the utilization of an event-triggered mechanism. By means of random analysis technology, the sufficient conditions are given to guarantee the preset H-infinity performance and variance constraint performance indexes of the system, and then the solution of the desired filter is obtained by using linear matrix inequalities. Finally, the validity and effectiveness of the proposed filter scheme are verified by numerical simulation.
Year
DOI
Venue
2020
10.14736/kyb-2020-1-0081
KYBERNETIKA
Keywords
DocType
Volume
multi-rate time-varying system,stochastic saturation,H-infinity filtering,variance-constraints,event-triggered scheme
Journal
56
Issue
ISSN
Citations 
1
0023-5954
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Hui Li181492.33
Ming Lyu272.52
Baozhu Du329717.87