期刊
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
卷 -, 期 -, 页码 -出版社
WILEY
DOI: 10.1002/rnc.7017
关键词
annular finite-time boundedness; event-triggered mechanism; H-infinity filtering; mean-field stochastic systems
This article presents a framework for annular finite-time H-infinity filtering problem for discrete-time mean-field stochastic systems with state- and disturbance-dependent noise. Both static and dynamic event-triggered mechanisms are introduced, which are related to two different thresholds and internal variables, respectively. Based on mean-field theory and the Lyapunov functional method, two groups of sufficient conditions are derived to ensure the filtering error systems have annular finite-time boundedness under an H-infinity performance level. Then, the desired filter gains can be obtained by solving two convex optimization problems. Finally, two numerical examples are given to show the validity of the proposed results.
This article presents a framework for annular finite-time H-infinity filtering problem for discrete-time mean-field stochastic systems with state- and disturbance-dependent noise. Both static and dynamic event-triggered mechanisms are introduced, which are related to two different thresholds and internal variables, respectively. Based on mean-field theory and the Lyapunov functional method, two groups of sufficient conditions are derived to ensure the filtering error systems have annular finite-time boundedness under an H-infinity performance level. Then, the desired filter gains can be obtained by solving two convex optimization problems. Finally, two numerical examples are given to show the validity of the proposed results.
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