Multi-objective Identification of Fir Models
نویسنده
چکیده
Identi cation of model parameters can be viewed as a problem with multiple objectives and constraints derived from empirical data (dynamic and steadystate), physical models and belief, empirical and qualitative belief, desired model properties etc. A fairly general approach to multi-objective system identi cation based on constrained optimization is suggested, and here we formalize the method for the identi cation of FIR models. Particular attention is paid to the analysis and selection of tradeo s between con icting objectives and constraints.
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