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Optimal input design for continuous-time system identification
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DOI：10.1016/j.cnsns.2017.12.013.png)
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Abstract
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In this paper, an optimal input design framework for continuous-time system identification is proposed. The problem is formulated in a convex finite dimensional form. For that purpose, input spectrum is decomposed onto a Laguerre basis and an LMI-problem is solved. The proposed solution is used to compute the optimal spectrum for a fractional system identification. (C) 2018 Elsevier B.V. All rights reserved.
Keywords:
Optimal input design
Experiment planning
Continuous-time system identification
Fractional systems
Basis functions decomposition
Laguerre functions
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