Structure identification of continuous nonlinear dynamical systems | Zendy

B Shanshiashvili | Zendy; Archil Prangishvili | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Structure identification of continuous nonlinear dynamical systems

Author(s) -

B Shanshiashvili,

Archil Prangishvili

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.08.097

Subject(s) - computer science , nonlinear system , identification (biology) , set (abstract data type) , nonlinear system identification , fourier series , system identification , series (stratigraphy) , dynamical systems theory , algorithm , control theory (sociology) , mathematics , data mining , artificial intelligence , mathematical analysis , measure (data warehouse) , paleontology , botany , physics , control (management) , quantum mechanics , biology , programming language

A problem of structure identification of continuous nonlinear dynamical systems on the set of continuous block-oriented models is considered. Methods of structure identification in steady state based on the observation of the system’s input and output variables at the input sinusoidal influences, at the input periodical influences, having Fourier’s uniformly and absolutely convergent series, and at the input random processes with normal distribution are proposed. The criteria determining the model structure are developed. The structure identification methods are investigated by means of both the theoretical analysis and the computer modelling.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research