This article is cited in 5 papers

Stochastic Systems

Digital identification of nonlinear dynamic systems

V. M. Chadeev

Institute of Control Sciences, Russian Academy of Sciences

Abstract: An algorithm for designing conditional regression models of nonlinear dynamic systems is described. The complexity of the model is evaluated using the properties of data digital representation. The identification algorithm automatically chooses a structure for a system. Algorithms for complete and incomplete experiments are described. An example is given.

Presented by the member of Editorial Board: B. T. Polyak

Received: 15.01.2002

 English version: Automation and Remote Control, 2004, 65:12, 1938–1945

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