Adaptive Set Observers Design for Nonlinear Continuous-Time Systems: Application to Fault Detection and Diagnosis

Autor:	Efimov, Denis, Raïssi, Tarek, Zolghadri, Ali
Rok vydání:	2010
Předmět:	Computer Science - Systems and Control Mathematics - Optimization and Control Nonlinear Sciences - Adaptation and Self-Organizing Systems 34H05
Druh dokumentu:	Working Paper
Popis:	The paper deals with joint state and parameter estimation for nonlinear continuous-time systems. Based on a guaranteed LPV approximation, the set adaptive observers design problem is solved avoiding the exponential complexity obstruction usually met in the set-membership parameter estimation. Potential application to fault diagnosis is considered. The efficacy of the proposed set adaptive observers is demonstrated on several examples.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1012.0684 Zobrazit plný text záznamu View this record from Arxiv