2003Control theory & applicationsRequires access

Robust identification for nonlinear system based on Volterra series

Chongzhao Han

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Abstract

For the robust modeling problem of weakly nonlinear system, based on Volterra series, a robust identification method for generalized frequency response function is presented by use of set membership identification theory. Then a systematic robust modeling method for weak nonlinear system is raised. Simulation results show its effectiveness.

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What this paper is about

For the robust modeling problem of weakly nonlinear system, based on Volterra series, a robust identification method for generalized frequency response function is presented by use of set membership identification theory. Then a systematic robust modeling method for weak nonlinear system is raised. Simulation results show its effectiveness.

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Available abstract

For the robust modeling problem of weakly nonlinear system, based on Volterra series, a robust identification method for generalized frequency response function is presented by use of set membership identification theory. Then a systematic robust modeling method for weak nonlinear system is raised. Simulation results show its effectiveness.

Key concepts: Volterra series, Nonlinear system, Nonlinear system identification, Identification (biology), Control theory (sociology), Series (stratigraphy), System identification, Mathematics

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