On-line identification and adaptive trajectory tracking for nonlinear stochastic continuous time systems using differential neural networks

Authors:
Alex S. Poznyak;Lennart Ljung
Affiliations:
Department of Automatic Control, CINVESTAV-IPN, AP 14 740, CP 07000, Mexico D.F., Mexico;Department of Electrical Engineering, Linköping University, S-581 83, Linköping, Sweden
Venue:
Automatica (Journal of IFAC)
Year:
2001

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Abstract

The purpose of this paper is to show that the concept of differential neural networks (DNN) can be successfully applied to the identification and adaptive control design for stochastic nonlinear continuous time systems.