  This chapter presents an H-infinity filtering framework for cloud-aided
semiactive suspension system with time-varying delays. In this system, road
profile information is downloaded from a cloud database to facilitate onboard
estimation of suspension states. Time-varying data transmission delays are
considered and assumed to be bounded. A quarter-car linear suspension model is
used and an H-infinity filter is designed with both onboard sensor measurements
and delayed road profile information from the cloud. The filter design
procedure is designed based on linear matrix inequalities (LMIs). Numerical
simulation results are reported that illustrates the fusion of cloud-based and
on-board information that can be achieved in Vehicleto- Cloud-to-Vehicle
(V2C2V) implementation.
