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.