Cloud-aided moving horizon state estimation of a full-car semi-active suspension system | IEEE Conference Publication | IEEE Xplore

Cloud-aided moving horizon state estimation of a full-car semi-active suspension system


Abstract:

In this work, we investigate a state estimation problem for a full-car semi-active suspension system. To account for the complex calculation and optimization problems, a ...Show More

Abstract:

In this work, we investigate a state estimation problem for a full-car semi-active suspension system. To account for the complex calculation and optimization problems, a vehicle-to-cloud-to-vehicle (V2C2V) scheme is utilized. Moving horizon estimation is introduced for the state estimation system design. All the optimization problems are solved in a remotely-embedded agent with high computational ability. Measurements and state estimates are transmitted between the vehicle and the remote agent via networked communication channels. The effectiveness of the proposed method is illustrated via a set of simulations.
Date of Conference: 09-12 October 2016
Date Added to IEEE Xplore: 09 February 2017
ISBN Information:
Conference Location: Budapest, Hungary

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