NONLINEAR IDENTIFICATION USING PRIOR KNOWLEDGE OF FIXED POINTS: A MULTIOBJECTIVE APPROACH

摘要: This paper is devoted to the problem of model building from data produced by a nonlinear dynamical system. Unlike most published works that address black-box perspective, in present procedure developed permits use prior knowledge about location fixed-points addition thus resulting gray-box approach. Numerical results using Chua's double-scroll attractor and sine map are presented. As discussed, suggested useful as means partially compensate for loss information due noise improve performance presence structure mismatches. Preliminary have indicated outlined this systematic way searching models vicinity solution. could important consequences not only but also validation.