On asynchronous stochastic learning control method

Abstract

In view of the limitation that a general asynchronous learning control method is unable to cope with systems with measurement noise, an asynchronous stochastic learning control system (ASLC) using stochastic approximation algorithm, is proposed. The corresponding convergence proof is given. To improve the convergence rate of stochastic approximation, ASLC with acceleration factor is further presented. A simulation example is given.<>