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

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2 Author(s)
Spall, J.C. ; Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA ; Cristion, John A.

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.

Published in:

American Control Conference, 1994  (Volume:3 )

Date of Conference:

29 June-1 July 1994