Title :
Adaptive Stabilization of ARMAX Systems Via Logic-Based Switching
Author_Institution :
Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan
Abstract :
In this paper, we propose a switching control scheme for uncertain autoregressive moving average exogenous (ARMAX) systems that is effective in guaranteeing the stability of the controlled system. The adopted switching control methodology is "estimator based", in that the switching logic relies on the extended least squares (ELS) parameter estimation procedure for controller selection and switching. The proof of the stability result requires an accurate analysis of the closed-loop identification properties of the ELS estimation algorithm when combined with switching control
Keywords :
adaptive control; autoregressive moving average processes; closed loop systems; least squares approximations; parameter estimation; stability; time-varying systems; uncertain systems; adaptive stabilization; closed-loop identification; extended least squares; logic-based switching; parameter estimation; switching control scheme; switching logic; uncertain autoregressive moving average exogenous systems; Adaptive control; Autoregressive processes; Control systems; Least squares approximation; Logic; Parameter estimation; Programmable control; Stability analysis; Stochastic systems; Switches;
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
Print_ISBN :
0-7803-8936-0
DOI :
10.1109/.2005.1467023
