Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/12350
Title: Adaptive input design for identification of output error model with constrained output
Authors: Stojanović, Vladimir
Filipovic, Vojislav
Issue Date: 2014
Abstract: Optimal input design for system identification is an area of intensive modern research. This paper considers the identification of output error (OE) model, for the case of constrained output variance. The constraint plays a very important role in the process industry, in the reduction of degradation of product quality. In this paper, it is shown, in the form of a theorem, that the optimal input signal, with constrained output, is achieved by a minimum variance controller together with a stochastic reference. The key problem is that the optimal input depends on the system parameters to be identified. In order to overcome this problem, a two-stage adaptive procedure is proposed: obtaining an initial model using PRBS as input signal; application of adaptive minimum variance controller together with the stochastic variable reference, in order to generate input signals for system identification. Theoretical results are illustrated by simulations. © 2013 Springer Science+Business Media New York.
URI: https://scidar.kg.ac.rs/handle/123456789/12350
Type: article
DOI: 10.1007/s00034-013-9633-0
ISSN: 0278-081X
SCOPUS: 2-s2.0-84897731293
Appears in Collections:Faculty of Mechanical and Civil Engineering, Kraljevo

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