Title :
Observer Design in Convergent Series for a Class of Nonlinear Systems
Author_Institution :
Control Syst. Centre, Univ. of Manchester, Manchester, UK
fDate :
7/1/2012 12:00:00 AM
Abstract :
This paper deals with convergence analysis for power series solutions to a partial differential equation for nonlinear observer design with linear observer error dynamics. This power series solution is used to design the gain matrix for a Luenberger-like observer for nonlinear systems. An explicit domain of convergence around the origin is identified, which is related to the relative sizes of high-order terms in the original nonlinear system with respect to the linearized model. The convergent conditions can provide a guideline for nonlinear observer design with a truncated series for the observer gain.
Keywords :
convergence; matrix algebra; nonlinear dynamical systems; observers; partial differential equations; Luenberger-like observer; convergence analysis; convergent series; gain matrix; linear observer error dynamics; nonlinear observer design; nonlinear systems; partial differential equation; power series solutions; truncated series; Convergence; Eigenvalues and eigenfunctions; Nonlinear dynamical systems; Observers; Polynomials; Convergence analysis; nonlinear systems; observer design; polynomial approximation;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2011.2178880