A statistical learning perspective on switched linear system identification

DOI10.1016/j.automatica.2022.110532zbMath1498.93109OpenAlexW4293776011WikidataQ114204726 ScholiaQ114204726MaRDI QIDQ2081825

Fabien Lauer, Marion Gilson, Louis Massucci

Publication date: 30 September 2022

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2022.110532

zbMATH Keywords

system identificationmodel selectionswitched systemsstatistical learning

Mathematics Subject Classification ID

System identification (93B30) Linear systems in control theory (93C05) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)

Related Items (2)

Learning stability guarantees for constrained switching linear systems from noisy observations ⋮ Highly‐computational hierarchical iterative identification methods for multiple‐input multiple‐output systems by using the auxiliary models

Cites Work

• Identification of switched linear systems via sparse optimization
• A continuous optimization framework for hybrid system identification
• Basic properties of strong mixing conditions. A survey and some open questions
• Instrumental variable methods for system identification
• Rates of convergence for empirical processes of stationary mixing sequences
• Hybrid system identification. Theory and algorithms for learning switching models
• Empirical margin distributions and bounding the generalization error of combined classifiers
• Learning and generalisation. With applications to neural networks.
• Estimating the probability of success of a simple algorithm for switched linear regression
• Data-driven switching modeling for MPC using regression trees and random forests
• Identification of switched linear regression models using sum-of-norms regularization
• Learning Theory
• 10.1162/153244303321897690
• A bounded-error approach to piecewise affine system identification
• A Sparsification Approach to Set Membership Identification of Switched Affine Systems
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