|
IDENTIFICATION OF HYBRID SYSTEMS USING A PRIORI KNOWLEDGE
Eberhard Münz, Volker Krebs
Institut für Regelungs- und Steuerungssysteme,
Universität Karlsruhe (TH)
phone: +49 721 / 608 2462
fax: +49 721 / 608 2707
e-mail: {muenz,krebs}@irs.etec.uni-karlsruhe.de
An approach for the identification of a class of hybrid systems is presented. The identification problem for hybrid systems is formulated as an optimization problem and two possible ways for an approximative solution of the problem are discussed. As a result of this discussion a top-down algorithm for the approximative solution is developed. The proposed algorithm enables the user to incorporate a priori knowledge in very different scales. The feasibility and performance of the procedure is demonstrated at a two tank laboratory system.
Keywords: Hybrid systems, nonlinear identification, least-squares estimates, classification, optimization
Session slot T-Th-E06: Analysis of hybrid systems/Area code 5c : Computer Aided Control Systems Design
 | 