Method for simultaneous state and parameter estimation in nonlinear systems

David Haessig, Bernard Friedland

Research output: Contribution to journalConference articlepeer-review

27 Scopus citations

Abstract

A new method for simultaneously estimating the state and unknown parameters in nonlinear dynamic systems is presented. The method, based on the State Dependent Riccati Equation (SDRE) Filtering technique, is shown to work well in a number of examples, one involving friction estimation and compensation, and another being a linear system with unknown coefficients. However, when the number of states and parameters is large, the filter can become computationally overburdened. This problem is addressed by developing a two-stage form of the new state/parameter estimator for systems affine in the unknown parameters.

Original languageEnglish (US)
Pages (from-to)947-951
Number of pages5
JournalProceedings of the American Control Conference
Volume2
StatePublished - Jan 1 1997
EventProceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA
Duration: Jun 4 1997Jun 6 1997

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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