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A parameter estimation approach to state observation of nonlinear systems

Abstract : A novel approach to the partial state estimation problem is proposed. Instrumental to this approach is the reformulation of the state estimation problem as a problem of estimation of a constant parameter related to the systems initial conditions. The admissible class of the systems is defined via two assumptions related to solvability of a partial differential equation and our ability to estimate the unknown parameters. The proposed approach is shown to be applicable to position estimation of a class of electromechanical systems.
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Submitted on : Friday, June 26, 2020 - 6:07:45 PM
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Roméo Ortega, Alexey Bobtsov, Anton Pyrkin, Stanislav Aranovskiy. A parameter estimation approach to state observation of nonlinear systems. 54th IEEE Conference on Decision and Control (CDC), Dec 2015, Osaka, Japan. ⟨10.1109/cdc.2015.7403217⟩. ⟨hal-01262420⟩



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