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- W3101802092 abstract "Abstract In this paper we focus on estimation for nonlinear plants that can be rewritten under the form of quasi-linear parameter-varying systems with bounded unknown parameters. Moving-horizon estimators are proposed to estimate the state of such systems according to two different formulations, i.e., “optimistic” and “pessimistic.” In the former case, we perform estimation by minimizing the least-squares moving-horizon cost w.r.t. both state variables and parameters simultaneously. In the latter, we minimize such a cost w.r.t. the state variables after picking up the maximum w.r.t. the parameters. Under suitable assumptions, the stability analysis of the estimation is proved in both cases. A simple numerical example is provided to compare the proposed approaches." @default.
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- W3101802092 date "2020-01-01" @default.
- W3101802092 modified "2023-10-16" @default.
- W3101802092 title "Optimistic vs Pessimistic Moving-Horizon Estimation for Quasi–LPV Discrete-Time Systems" @default.
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- W3101802092 doi "https://doi.org/10.1016/j.ifacol.2020.12.1096" @default.
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