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Title: A Convex Approximation for Parameter Estimation Involving Parameter-Affine Dynamic Models
Authors: Bonilla Alarcon, Julian
Diehl, Moritz
Logist, Filip
De Moor, Bart
Van Impe, Jan #
Issue Date: 2009
Host Document: Proceedings of the 48th IEEE Conference on Decision and Control (CDC 2009) pages:4670-4675
Conference: 48th IEEE Conference on Decision and Control edition:48 location:Shanghai (China) date:December 16-18, 2009
Article number: 2366
Abstract: This paper presents a convex approach for parameter estimation problems (PEPs)
involving parameter-affine dynamic systems. By using the available state measurements, the nonconvex PEP is modified
such that a convex approximation is obtained. The optimum delivered by this approximation is subsequently used to linearize the original PEP such that a refined solution is obtained. An assessment of the distance between the actual solution and the one delivered by the refined approximation is provided using perturbation analysis. Comparative results using a classical nonlinear parameter estimation procedure and the proposed approach are presented for two benchmark examples where the theoretical assessment of errors in solutions is corroborated numerically.
Description: [**]
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Bio- & Chemical Systems Technology, Reactor Engineering and Safety Section
Electrical Engineering - miscellaneous
ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
# (joint) last author

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