A randomized approach to switched nonlinear systems identification
A randomized approach to switched nonlinear systems identification is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include probabilistic logic, independent component analysis, model selection, Nonlinear autoregressive exogenous model, computer science, autoregressive model, identification, algorithm, system identification, mathematical optimization, realization, fault detection and isolation, dynamical systems theory, nonlinear system, categorical variable, mathematics, Bernoulli distribution, and control theory. The authors propose a novel approach which, given a realization of the input/output signals collected from the system, jointly classifies the data attributing them to the different modes, and identifies the model structure and parameters for each mode.