ADAPTIVE NEURONAL CONTROL BASED ON LAZY LEARNING FOR SEMI-ACTIVE VEHICLE SUSPENSION SYSTEMS

摘要

This paper presents a lazy learnig-based neural network controller for a semi-active vehiclernsuspension system. The proposed controller allows the semi-active suspension system tornimprove both the ride comfort and the road isolation. The neural-based controller was studiedrnusing a quarter-car model. Simulation results show that the neural approach provides a simplernand effective approach to the adaptive control of a suspension system. Other advantages thisrnalgorithm presents are that it is easy to select the network structure and it learns quickly.