Design of an Optimal Input Signal for Parameter Estimation of Linear Fractional-Order Systems
AbstractThe optimal input signal design is a procedure of generating an informative excitation signal to extract the model parameters with maximum accuracy during the estimation process. Non-integer order calculus is a very useful tool, which is often utilized for modeling and control purposes. In the paper, we present a novel optimal input formulation and a numerical scheme for fractional order LTI system identification. The Oustaloup recursive approximation (ORA) method is used to determine the fractional order differentiation in an integer order state-space form. Then, the presented methodology is adopted to obtain an optimal input signal for fractional order system identification from the order interval 0.5≤α≤2.0 . The fundamental step in the presented method was to reformulate the problem into a similar fractional optimal input design problem described by Lagrange formula with the set of constraints. The methodology presented in the paper was verified using a numerical example, and the computational results were discussed.
|Publication size in sheets||0.65|
|Book||Malinowska Agnieszka, Mozyrska Dorota, Sajewski Łukasz (eds.): Advances in Non-Integer Order Calculus and Its Applications, Lecture Notes in Electrical Engineering, vol. 559, 2020, Springer, ISBN 978-3-030-17344-9, 307 p., DOI:10.1007/978-3-030-17344-9|
|Keywords in English||Fractional calculus, Optimal inputs, Oustaloup filter, Parameter identification|
|Internal identifier||ROC 19-20|
|Score||= 20.0, 29-03-2020, MonographChapterAuthor|
|Publication indicators||: 2018 = 0.216|
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