Identification of Piecewise Linear Models of Complex Dynamical Systems
Ronald L. Westra, Mih\'aly Petreczky, Ralf L.M. Peeters

TL;DR
This paper develops a theoretical framework for realizing and identifying a subclass of complex piecewise-affine hybrid systems, with applications in systems biology, including conditions for existence, minimality, and an identification algorithm.
Contribution
It provides necessary and sufficient conditions for realization, a minimality characterization, and an identification algorithm for piecewise-affine hybrid systems.
Findings
Established conditions for system realization
Characterized minimality of models
Proposed an identification algorithm
Abstract
The paper addresses the realization and identification problem or a subclass of piecewise-affine hybrid systems. The paper provides necessary and sufficient conditions for existence of a realization, a characterization of minimality, and an identification algorithm for this subclass of hybrid systems. The considered system class and the identification problem are motivated by applications in systems biology.
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Taxonomy
TopicsGene Regulatory Network Analysis · Advanced Control Systems Optimization · Control Systems and Identification
