Identification of a Class of Nonlinear Dynamical Networks
Identification of a Class of Nonlinear Dynamical Networks is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include simple, linear time-invariant system, Monte Carlo method, computer science, identification, artificial neural network, focus, system identification, mathematical optimization, algorithm, estimator, fault detection and isolation, nonlinear system, dynamical systems theory, applied mathematics, mathematics, and control theory. The authors show, that this is the case for some block-oriented networks with no feedback loops and where all the nonlinear modules are polynomials.