Guaranteed cost estimation and control for nonlinear system using LMI optimization

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.author	Buciakowski, Mariusz
dc.contributor.author	Puig Cayuela, Vicenç
dc.date	2016
dc.identifier.citation	Buciakowski, M., Puig, V. Guaranteed cost estimation and control for nonlinear system using LMI optimization. A: International Conference on Methods and Models in Automation and Robotics. "Proceedings of the 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR)". Miedzyzdroje: 2016, p. 1211-1216.
dc.identifier.citation	978-1-5090-1866-6
dc.identifier.citation	10.1109/MMAR.2016.7575311
dc.identifier.uri	http://hdl.handle.net/2117/91086
dc.language.iso	eng
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject	Nonlinear control theory
dc.subject	control nonlinearities
dc.subject	discrete time systems
dc.subject	linear matrix inequalities
dc.subject	nonlinear control systems
dc.subject	optimisation
dc.subject	linear matrix inequalities
dc.subject	cost function
dc.subject	nonlinearities
dc.subject	discrete-time systems
dc.subject	optimization
dc.subject	LMI
dc.subject	nonlinear system
dc.subject	cost estimation
dc.subject	Control no lineal, Teoria de
dc.title	Guaranteed cost estimation and control for nonlinear system using LMI optimization
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	In the paper, a methodology for the guaranteed cost estimation and control for nonlinear system discretetime systems is proposed. To solve such a challenging problem, the article starts with a general description of the system and assumptions regarding its nonlinearities. The subsequent part of the paper describes the design methodology of the robust observer and controller for the predefined cost function using linear matrix inequalities. The final part of the paper presents an illustrative example oriented towards a practical application to the multiple tank system, which illustrates the performance of the proposed approach.

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