This paper concerns the decentralized event-based H_(∞)filter design problem for networked dynamic system(NDS).A more practical situation is studied,in which the communication between subsystems is affected by uncert...This paper concerns the decentralized event-based H_(∞)filter design problem for networked dynamic system(NDS).A more practical situation is studied,in which the communication between subsystems is affected by uncertainties and only local sampled measurement output is available for each filter in the developed filter scheme.Firstly,an event-triggered mechanism is introduced for each subsystem to process the sampled output in order to reduce the communication load.Secondly,on the basis of the well-posedness,the augmented filtering error system composed of the original NDS and the filter is modeled as a time-delay system of high dimension.After that,by employing the Lyapunov functional approach and space construction method,novel computationally attractive sufficient conditions are derived to check the well-posedness,asymptotic stability and H_(∞)performance of the augmented filtering error system.Thirdly,a co-design method of the filter and event-trigger matrices is obtained by using Finsler lemma and slack matrix approach.Finally,a numerical example is provided to demonstrate the effectiveness of the derived design approach.展开更多
基金supported by Hebei Natural Science Foundation under Grant Nos.A2023203044 and F2022203097the National Natural Science Foundation of China under Grant Nos.12201451 and 62203377+3 种基金the Changzhou Sci&Tech Program under Grant No.CJ20235012the Science Research Project of Hebei Education Department under Grant No.QN2022077the S&T Program of Hebei under Grant No.236Z1603Gthe Yanshan University Basic Innovation Scientific Research Cultivation Project(Youth Project)under Grant No.2024LGQN015。
文摘This paper concerns the decentralized event-based H_(∞)filter design problem for networked dynamic system(NDS).A more practical situation is studied,in which the communication between subsystems is affected by uncertainties and only local sampled measurement output is available for each filter in the developed filter scheme.Firstly,an event-triggered mechanism is introduced for each subsystem to process the sampled output in order to reduce the communication load.Secondly,on the basis of the well-posedness,the augmented filtering error system composed of the original NDS and the filter is modeled as a time-delay system of high dimension.After that,by employing the Lyapunov functional approach and space construction method,novel computationally attractive sufficient conditions are derived to check the well-posedness,asymptotic stability and H_(∞)performance of the augmented filtering error system.Thirdly,a co-design method of the filter and event-trigger matrices is obtained by using Finsler lemma and slack matrix approach.Finally,a numerical example is provided to demonstrate the effectiveness of the derived design approach.
