Volterra’s kernels-based finite-time parameters estimation of the Chua system

Giuseppe Fedele, D’Alfonso, Luigi, Gilberto Pin and Thomas Parisini

Applied Mathematics and Computation, 2018, vol. 318, issue C, 121-130

Abstract: In this work, the unknown set of parameters of the Chua system is recovered under the hypothesis that the voltages of the capacitors are available. The system is shown to be algebraically observable and identifiable with respect to the chosen outputs. Focusing on the differential equations, the Volterra kernel-based approach is used to perform an estimation without the uncertainty of the unmeasurable derivatives and the unknown initial conditions.

Keywords: Chua system; Volterra’s kernels; Sliding mode control; Finite time estimation (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:318:y:2018:i:c:p:121-130

DOI: 10.1016/j.amc.2017.08.039

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