H-infinity Filtering for Cloud-Aided Semi-active Suspension with Delayed Information

This chapter presents an H∞ 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∞ 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. Zhaojian Li Department of Aerospace Engineering, University of Michigan, 1221 Beal Avenue, Ann Arbor, MI, USA 48109, e-mail: [email protected] Ilya Kolmanovsky Department of Aerospace Engineering, University of Michigan, 1221 Beal Avenue, Ann Arbor, MI, USA 48109, e-mail: [email protected] Ella Atkins Department of Aerospace Engineering, University of Michigan, 1221 Beal Avenue, Ann Arbor, MI, USA 48109, e-mail: [email protected] Jianbo Lu Research & Advanced Engineering, Ford Motor Company, 2101 Village Rd, Dearborn, MI, USA 48124, e-mail: [email protected] Dimitar Filev Research & Advanced Engineering, Ford Motor Company, 2101 Village Rd, Dearborn, MI, USA 48124, e-mail: [email protected] 1 ar X iv :1 70 1. 02 71 4v 1 [ cs .S Y ] 1 0 Ja n 20 17 2 Zhaojian Li and Ilya Kolmanovsky and Ella Atkins and Jianbo Lu and Dimitar Filev