Abstract: This article develops a novel online adaptive dynamic programming algorithm with adjustable convergence rate to address the optimal control problem of nonlinear systems. Relaxation factors ...

Abstract: The paper studies discrete-time statistical filtering problems with the goal to minimize expected total costs. Such problems are usually defined by pairs of stochastic equations and by ...