Observer design for nonlinear systems: stability and convergence

Rajesh Rajamani, Youngman Cho

Research output: Contribution to journalConference articlepeer-review

27 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)93-94
Number of pages2
JournalProceedings of the IEEE Conference on Decision and Control
Volume1
StatePublished - Dec 1 1995
EventProceedings of the 1995 34th IEEE Conference on Decision and Control. Part 1 (of 4) - New Orleans, LA, USA
Duration: Dec 13 1995Dec 15 1995

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