Author： Boada M.J.L. Boada B.L. Munoz B. Diaz V.
Publisher： Inderscience Publishers
ISSN： 1471-0226
Source： International Journal of Vehicle Autonomous Systems, Vol.3, Iss.2-3, 2005-11, pp. : 306-329
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Abstract
This paper presents a reinforcement learning algorithm using neural networks which allows a vehicle with semi-active suspension to improve continuously not only the ride comfort but also the tyre/ground contact. The proposed controller learns online, so that the system can adapt to changes produced in the environment. The neural controller has been studied using a half-vehicle model. Different road profiles have been tested to prove the robustness and reliability of the proposed semi-active suspension system. Simulation results show the effectiveness of our algorithm.
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