Nonlinear adaptive control using neural networks: estimation with a smoothed form of simultaneous perturbation gradient approximation

This is a condensed version of a full length interdisciplinary paper spanning the fields of control statistics, neural networks and optimisation. In this paper only the following two topics are considered: 1) consider the problem of developing adaptive controllers for general dynamic systems with unknown governing equations and develop a solution for an important class of such problems; and 2) introduce a modification to simultaneous perturbation stochastic approximation that is based on smoothing gradient approximations across iterations and illustrate this modification on the neural net based control problem.