Title :
Set Membership Parameter Estimation for Linear Systems Subject to Bounded Disturbances
Author_Institution :
Changsha Univ. of Sci. & Technol., Changsha
Abstract :
In this paper we present a novel and useful set-membership parameter estimation approach for linear systems with unknown but bounded disturbances. The proposed algorithm is performed by the use of a modified bounding ellipsoid technique so that the estimated parameters are consistent with the measurements and the noise constraints. Convergence analysis of the algorithm is performed which shows that the estimation error is bounded and nonincreasing. An example has been provided to clarify the algorithm.
Keywords :
convergence; linear systems; parameter estimation; set theory; bounded disturbances; convergence analysis; estimation error; linear systems; modified bounding ellipsoid technique; set membership parameter estimation; Algorithm design and analysis; Control systems; Convergence; Ellipsoids; Helium; Linear systems; Parameter estimation; Performance analysis; Resonance light scattering; Signal processing algorithms; Bounding Ellipsoid; Parameter Estimation; Set-Membership; Unknown but Bounded Disturbances;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347580