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The authors present a procedure that permits the use of steady-state information to constrain the identification of nonlinear polynomial models. Such a procedure has three main steps. First, a general framework is provided that relates the static function of nonlinear global polynomial models to their terms and parameters. Second, using standard nonlinear programming techniques, a rational function is fitted to the system static function, which is assumed to be known and is used as auxiliarydoi:10.1049/ip-cta:20040102 fatcat:wlnwdrkq2nhmhabscf4eigxvj4