Abstract
We demonstrate how to use wavelets for the reparametrization of second-order Volterra models in terms of a substantially smaller number of coefficients. The resulting structure retains several of the advantages of the Volterra structure, while being parsimonious, thus making feasible the identification of Volterra models from experimental data. A simulation study on a polymerization reactor elucidates the proposed approach.
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Nikolaou, M., Mantha, D. (2000). Efficient Nonlinear Modeling Using Wavelet Compression. In: Allgöwer, F., Zheng, A. (eds) Nonlinear Model Predictive Control. Progress in Systems and Control Theory, vol 26. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8407-5_17
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DOI: https://doi.org/10.1007/978-3-0348-8407-5_17
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