کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1861783 1037541 2009 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Nonlinear adaptive synchronization rule for identification of a large amount of parameters in dynamical models
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک و نجوم (عمومی)
پیش نمایش صفحه اول مقاله
Nonlinear adaptive synchronization rule for identification of a large amount of parameters in dynamical models
چکیده انگلیسی

The existing adaptive synchronization technique based on the stability theory and invariance principle of dynamical systems, though theoretically proved to be valid for parameters identification in specific models, is always showing slow convergence rate and even failed in practice when the number of parameters becomes large. Here, for parameters update, a novel nonlinear adaptive rule is proposed to accelerate the rate. Its feasibility is validated by analytical arguments as well as by specific parameters identification in the Lotka–Volterra model with multiple species. Two adjustable factors in this rule influence the identification accuracy, which means that a proper choice of these factors leads to an optimal performance of this rule. In addition, a feasible method for avoiding the occurrence of the approximate linear dependence among terms with parameters on the synchronized manifold is also proposed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physics Letters A - Volume 374, Issue 2, 28 December 2009, Pages 161–168
نویسندگان
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