Learning nonlinear hybrid systems

DOI10.1145/2461328.2461336zbMath1364.93381OpenAlexW2065401820MaRDI QIDQ2986908

Laurent Bako, Fabien Lauer, Gérard Bloch, Van Luong le

Publication date: 16 May 2017

Published in: Proceedings of the 16th international conference on Hybrid systems: computation and control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1145/2461328.2461336

zbMATH Keywords

convex optimizationsystem identificationsparsityrobustness to noisesupport vector machineswitched nonlinear systemsswitched regression

Mathematics Subject Classification ID

General nonlinear regression (62J02) Convex programming (90C25) Learning and adaptive systems in artificial intelligence (68T05) System identification (93B30) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)

Related Items (3)

Model structure selection for switched NARX system identification: a randomized approach ⋮ A randomized two-stage iterative method for switched nonlinear systems identification ⋮ Hierarchical identification of nonlinear hybrid systems in a Bayesian framework

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