Online clustering of switching models based on a subspace framework

DOI10.1016/j.nahs.2007.11.006zbMath1215.93141OpenAlexW2036857203MaRDI QIDQ534367

Komi Midzodzi Pekpe, Stéphane Lecoeuche

Publication date: 17 May 2011

Published in: Nonlinear Analysis. Hybrid Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nahs.2007.11.006

zbMATH Keywords

identificationswitching systemsmachine learningdynamical classificationMarkov parameters estimation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Estimation and detection in stochastic control theory (93E10) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)

Related Items (3)

Realization of multi-input/multi-output switched linear systems from Markov parameters ⋮ Recursive estimation in piecewise affine systems using parameter identifiers and concurrent learning ⋮ A recursive identification algorithm for switched linear/affine models

Cites Work

• Identification of piecewise affine systems via mixed-integer programming.
• A clustering technique for the identification of piecewise affine systems
• Identification of hybrid systems. A tutorial
• Kernel methods for subspace identification of multivariable LPV and bilinear systems
• Hinging hyperplanes for regression, classification, and function approximation
• A Bayesian approach to identification of hybrid systems
• Hybrid Systems: Computation and Control
• Unnamed Item

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