A constrained clustering approach to bounded-error identification of switched and piecewise affine systems

DOI10.1016/j.automatica.2022.110589zbMath1504.93060OpenAlexW4297120090MaRDI QIDQ2097745

Alessandro Falsone, Luigi Piroddi, Federico Bianchi, Maria Prandini

Publication date: 14 November 2022

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2022.110589

zbMATH Keywords

clusteringpiecewise affine modelsswitched affine modelsbounded-error identification

Mathematics Subject Classification ID

System identification (93B30) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)

Cites Work

• Identification of switched linear systems via sparse optimization
• The MIN PFS problem and piecewise linear model estimation
• Hybrid system identification. Theory and algorithms for learning switching models
• Fitting jump models
• A clustering technique for the identification of piecewise affine systems
• A randomized two-stage iterative method for switched nonlinear systems identification
• Identification of switched linear regression models using sum-of-norms regularization
• Model structure selection for switched NARX system identification: a randomized approach
• Two algorithms for constructing a Delaunay triangulation
• A bounded-error approach to piecewise affine system identification
• A Sparsification Approach to Set Membership Identification of Switched Affine Systems

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