Unified set membership theory for identification, prediction and filtering of nonlinear systems

DOI10.1016/j.automatica.2011.03.013zbMath1228.93115OpenAlexW2017515939MaRDI QIDQ642617

Carlo Novara, Mario Milanese

Publication date: 27 October 2011

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2011.03.013

zbMATH Keywords

predictionidentificationnonlinear systemsfilteringset membership estimationdirect inference from data

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)

Related Items (12)

Control of systems with sector-bounded nonlinearities: robust stability and command effort minimization by disturbance rejection ⋮ Robust and nonlinear control literature survey (No. 27) ⋮ A probabilistic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding ⋮ Data-driven control of nonlinear systems: an on-line direct approach ⋮ Design of interval observers for uncertain dynamical systems ⋮ Nonlinear system identification in Sobolev spaces ⋮ Design of experiments for nonlinear system identification: a set membership approach ⋮ Control of MIMO nonlinear systems: a data-driven model inversion approach ⋮ Facing undermodelling in sign-perturbed-sums system identification ⋮ SMGO: a set membership approach to data-driven global optimization ⋮ An interval-valued recursive estimation framework for linearly parameterized systems ⋮ Identifiability and convergence analysis of the MINLIP estimator

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