Title :
Set Membership State Estimation for Nonlinear Systems in the Presence of Bounded Disturbances
Author_Institution :
Changsha Univ. of Sci. & Technol., Changsha
Abstract :
In this paper an extended set membership state estimation algorithm for nonlinear discrete-time system in the presence of bounded disturbances is presented. The convergence analysis for nonlinear system is derived from Lyapunov method. It is shown that the estimation error remains bounded if the nonlinear system is uniformly observable and the initial error is sufficiently small as well as the noise terms are small enough. The simulation results illustrate the effectiveness of the proposed approach.
Keywords :
Lyapunov methods; convergence; discrete time systems; nonlinear control systems; state estimation; Lyapunov method; bounded disturbances; convergence analysis; nonlinear discrete-time system; set membership state estimation; Control systems; Ellipsoids; Estimation error; Helium; Noise measurement; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Signal processing algorithms; State estimation; Convergence; Extended Set Membership; Nonlinear Systems; State Estimation; Unknown but Bounded Noise;
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.2006.4347104
