DocumentCode :
2001165
Title :
The Design of Full-order and Reduced-order Adaptive Observers for Nonlinear Systems
Author :
Zhu, Fanglai
Author_Institution :
Guilin Univ. of Electron. Technol., Guilin
fYear :
2007
fDate :
May 30 2007-June 1 2007
Firstpage :
529
Lastpage :
534
Abstract :
This paper deals with the existence and design method of adaptive observer for a kind of Lipschitz nonlinear system with unknown parameter. Under the assumption that a Riccati equation has a symmetric positive definite solution, a full-order adaptive observer which can estimate the states and the unknown parameters simultaneuouly is developed. Under the same assumptions, we also discusses a design method of reduced-order adaptive observer and the gain matrix of it is depended on the positive matrix solution of Riccati equation. The simulations to a real model show that the design methods have good performances.
Keywords :
Riccati equations; adaptive systems; nonlinear systems; observers; parameter estimation; reduced order systems; Lipschitz nonlinear system; Riccati equation; full-order adaptive observers; gain matrix; nonlinear systems; reduced-order adaptive observers; state estimation; unknown parameter estimation; Adaptive control; Control systems; Design methodology; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Observers; Programmable control; Riccati equations; Symmetric matrices; Lipschitz nonlinear systems; full-order adaptive observers; reduced-order adaptive observer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
Type :
conf
DOI :
10.1109/ICCA.2007.4376412
Filename :
4376412
Link To Document :
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