Stochastic optimal control of active vehicle suspensions using learning automata

Gordon, T. J. and Marsh, C. and Wu, Q. H. (1993) Stochastic optimal control of active vehicle suspensions using learning automata. Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 207 (3). pp. 143-152. ISSN 0959-6518

Full content URL: http://dx.doi.org/10.1243/PIME_PROC_1993_207_333_0...

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Item Type:Article
Item Status:Live Archive

Abstract

This paper is concerned with the application of reinforcement learning to the stochastic optimal control of an idealized active vehicle suspension system. The use of learning automata in optimal control is a new application of this machine learning technique, and the principal aim of this work is to define and demonstrate the method in a relatively simple context, as well as to compare performance against results obtained from standard linear optimal control theory.

Keywords:Automata theory, Control equipment, Learning systems, Optimal control systems, Optimization, Active vehicle suspensions, Learning automata, Reinforcement learning, Stochastic optimal control, Vehicle suspensions, bmjdoi
Subjects:H Engineering > H660 Control Systems
H Engineering > H330 Automotive Engineering
Divisions:College of Science > School of Engineering
ID Code:11699
Deposited On:21 Aug 2013 12:40

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