2015
DOI: 10.1007/978-3-319-09900-2_10
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Modeling and Identification of Fractional-Order Discrete-Time Laguerre-Based Feedback-Nonlinear Systems

Abstract: Abstract. This paper presents a new implementable strategy for modeling and identification of a fractional-order discrete-time block-oriented feedback-nonlinear system. Two different concepts of orthonormal basis functions (OBF) are used to model a linear dynamic part, namely "regular" OBF and inverse IOBF. It is shown that the IOBF concept enables to separate linear and nonlinear submodels, which leads to a linear regression formulation of the parameter estimation problem, with the detrimental bilinearity eff… Show more

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Cited by 11 publications
(3 citation statements)
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“…Another approach has been the employment of an approximating filter incorporating discrete-Laguerre filters [9,15,19]. In the second case, applications are based on orthonormal basis functions (OBF) methods [2,8,16,18], and a number of other applications [5,12,13].…”
Section: Introductionmentioning
confidence: 99%
“…Another approach has been the employment of an approximating filter incorporating discrete-Laguerre filters [9,15,19]. In the second case, applications are based on orthonormal basis functions (OBF) methods [2,8,16,18], and a number of other applications [5,12,13].…”
Section: Introductionmentioning
confidence: 99%
“…Other avenues for warranting numerical stability need different approximation methods. One approach focused on using Laguerre functions to create an approximation of impulse response [7,8], which was used among the others in [9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…For example, in Stanislawski et al [37,38] use Grünwald-Letnikow difference to design discrete filters. Another proposition of non-integer order discrete filter can be found in [13].…”
Section: Introductionmentioning
confidence: 99%