Title :
Global estimation of nonlinear systems with unknown-input coefficients
Author_Institution :
Univ. of Trinidad & Tobago, Couva, Trinidad and Tobago
Abstract :
This paper deals with simultaneous state and input-parameter estimation of a class of bounded-state nonlinear systems. By state augmentation, the unknown-input coefficient is seen as an extension of the system states and consequently, an input-gain observer can be conceived to steer the observation error to the origin for some bounded and non-null control input. The proposed design remains valid for nonlinear-input systems with linear parametrization.
Keywords :
control system synthesis; nonlinear systems; observers; parameter estimation; bounded-state nonlinear systems; global estimation; input-gain observer; input-parameter estimation; linear parametrization; unknown-input coefficients; Adaptive systems; Jacobian matrices; Nonlinear systems; Observers; Parameter estimation; Riccati equations; Adaptive estimation; BIBS (Bounded-Input-Bounded-State) nonlinear systems; Non-symmetric saturation function; Nonlinear observer design; System theory;
Conference_Titel :
Intelligent Control (ISIC), 2010 IEEE International Symposium on
Conference_Location :
Yokohama
Print_ISBN :
978-1-4244-5360-3
Electronic_ISBN :
2158-9860
DOI :
10.1109/ISIC.2010.5612885
