Learning automaton methodology for control system design in active vehicle suspensions

Gordon, T. J. and Marsh, C. and Wu, Q. H. (1994) Learning automaton methodology for control system design in active vehicle suspensions. In: International Conference on CONTROL, 21 - 24 March 1994, Coventry, UK.

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

Abstract

This brief study demonstrates that a learning automata methodology is capable of solving simple active suspension control system design problems. The learning control is apparently capable of resolving system effects such as transducer noise and bandwidth limits. The control that is eventually learnt depends on the underlying system, the cost function, and the random learning environment.

Additional Information:Volume 1 issue 389 Conference Code:20520
Keywords:Automation, Learning systems, Numerical analysis, Simulation, Vehicle suspensions, Active vehicles, Learning automaton, Control systems
Subjects:H Engineering > H331 Road Vehicle Engineering
Divisions:College of Science > School of Engineering
ID Code:11697
Deposited On:13 Feb 2014 09:19

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