Codesign of Event-Triggered and Distributed $H_{\infty }$ Filtering for Active Semi-Vehicle Suspension Systems

This paper is concerned with the problem of distributed H
_∞
filtering for a cloud-aided active semivehicle suspension system. The information of semi-vehicle suspension system are transmitted to the cloud through wireless network with some unreliable characteristics, such as communication time-delay and limited bandwidth, which are solved by the delay-distribution dependent method and event-triggered scheme, respectively. In order to reduce the dimensions of results, the semi-vehicle suspension is decomposed into two interconnected subsystems. At the side of remote cloud, filters are designed for each subsystem with considering the unreliable characteristics of network and stochastic sensor faults, simultaneously. A codesign algorithm is provided to obtain the distributed H
_∞
filtering and the event-triggered scheme, simultaneously. Finally, the efficient performances of the codesigned algorithm are evaluated both in time and frequency domains under different road conditions.