This article is cited in 2 papers

Stochastic Systems

Identification of nonlinear plants with complex criteria

I. S. Durgaryan, F. F. Pashchenko

Moscow

Abstract: The paper is concerned with identification in terms of criteria other than minimal r.m.s. error. Vector identification criteria are studied. Use of dispersional functions permits extending the approach to nonlinear plants and leads to a plant model even when correlation methods are inapplicable.

UDC: 62-501.72


Received: 14.02.1979

 English version: Automation and Remote Control, 1980, 41:7, 935–943

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