A bias-correction method for closed-loop identification of linear parameter-varying systems
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Publication:680507
DOI10.1016/j.automatica.2017.09.014zbMath1378.93037OpenAlexW2765604360MaRDI QIDQ680507
Dario Piga, Manas Mejari, Alberto Bemporad
Publication date: 23 January 2018
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2017.09.014
Related Items (9)
Bias correction-based recursive estimation for dual-rate output-error systems with sampling noise ⋮ Direct identification of continuous-time LPV state-space models via an integral architecture ⋮ Variance reduction in covariance based realization algorithm with application to closed-loop data ⋮ Closed-loop identification for a class of nonlinearly parameterized discrete-time systems ⋮ Reachability and stabilization of scheduled steady-states for LPV single-input systems ⋮ Maximum likelihood gradient‐based iterative estimation for closed‐loop Hammerstein nonlinear systems ⋮ The bias compensation based parameter and state estimation for observability canonical state-space models with colored noise ⋮ Hierarchical least squares identification for feedback nonlinear equation-error systems ⋮ Designing controller parameters of an LPV system via design space exploration
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