Feasible Parameter Set Approximation for Linear Models with Bounded Uncertain Regressors

DOI10.1109/TAC.2014.2351855zbMath1360.93179OpenAlexW2044256416MaRDI QIDQ2982943

Andrea Garulli, Marco Casini, Antonio Vicino

Publication date: 16 May 2017

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.2014.2351855

Mathematics Subject Classification ID

System identification (93B30) Identification in stochastic control theory (93E12)

Related Items (7)

Zonotope-based recursive estimation of the feasible solution set for linear static systems with additive and multiplicative uncertainties ⋮ A probabilistic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding ⋮ A linear programming approach to online set membership parameter estimation for linear regression models ⋮ Set-membership state and parameter estimation for discrete time-varying systems based on the constrained zonotope ⋮ Tight computationally efficient approximation of matrix norms with applications ⋮ Identification of regularized models in the linear regression class ⋮ Application of interval predictor model into robust model predictive control

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