Dynamic vehicle roll control using reinforcement learning

Frost, G. P. and Howell, M. N. and Gordon, Timothy and Wu, Q. H. (1996) Dynamic vehicle roll control using reinforcement learning. In: 1996 UKACC International Conference on Control, 2-5 September 1996, Exeter, UK.

Full content URL: http://dx.doi.org/10.1049/cp:19960708

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

A reinforcement learning strategy is applied to the problem of the dynamic roll control of a full-body vehicle system fitted with semi-active suspension under digital control. The simulation model used in this study is based upon realistic vehicle hardware. Prior engineering knowledge of the non-linear actuation system is used to develop a control structure. Parameters in this structure are then obtained using Continuous Action Reinforcement Learning Automata (CARLA), an extension of the interconnected learning automata methodology. No model-based information is used in the controller synthesis.

Additional Information: Conference Code:45597 Proceedings issue 427/2
Keywords:Actuators, Adaptive systems, Automata theory, Computer hardware, Computer simulation, Control system synthesis, Digital control systems, Intelligent control, Multivariable control systems, Nonlinear systems, Vehicle suspensions, Vehicles, Automotive systems, Continuous action reinforcement learning automata, Dynamic vehicle roll control, Full body vehicle system, Learning systems
Subjects:H Engineering > H990 Engineering not elsewhere classified
H Engineering > H650 Systems Engineering
H Engineering > H331 Road Vehicle Engineering
Divisions:College of Science > School of Engineering
ID Code:11689
Deposited On:04 Oct 2013 11:45

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