Title :
Observer design for nonlinear systems: stability and convergence
Author :
Rajamani, Rajesh ; Cho, Youngman
Author_Institution :
United Technol. Res. Center, East Hartford, CT, USA
Abstract :
This paper presents an observer design methodology for a class of nonlinear systems in which the nonlinearity is assumed to be Lipschitz. The stability of the observer is shown to be related to finding solutions to a Riccati inequality. Via a co-ordinate transformation, the Riccati inequality is reformulated as a linear matrix inequality amenable to convex optimization. The result is a systematic algorithm that finds a stable observer whenever the Riccati inequality has a feasible solution. Other attractions of the method lie in the fact that the value of the maximum allowable Lipschitz constant for stability can be calculated and that the desired convergence rate can be incorporated into the design procedure
Keywords :
convergence; matrix algebra; nonlinear control systems; observers; optimisation; stability; Lipschitz nonlinearity; Riccati inequality; co-ordinate transformation; convergence; convex optimization; linear matrix inequality; maximum allowable Lipschitz constant; nonlinear systems; observer design; stability; Convergence; Design methodology; Linear matrix inequalities; Linearity; Nonlinear systems; Observers; Riccati equations; Robots; Stability; Symmetric matrices;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.478575