A Priori Nonlinear Model Structure Selection for System Identification
نویسندگان
چکیده
When performing nonlinear system identification few tools exist for the a priori nonlinear model structure selection of the nonlinear system. This paper presents a possible approach as a first step towards selecting a nonlineAtr system model structure, based on using the results of Lyapunov exponents, Poincar~ maps and dimension techniques. The approach is illusUated by applying it to the Chua circuit, a nonlinear dynamic system exhibiting chaotic dynamic behaviour. Copyright © 1997 Elsevier Science Ltd
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