Surrogate Data and Nonlinear Distortion for Nonlinear Model Development—A Preliminary Study
Surrogate Data and Nonlinear Distortion for Nonlinear Model Development—A Preliminary Study is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include Surrogate data, computer science, frequency domain, algorithm, system identification, uncertainty quantification, distortion, process, fault detection and isolation, nonlinear system, applied mathematics, Nonlinear distortion, and Nonlinear modelling. Some possibilities for how data-based nonlinearity tests can support the development of nonlinear dynamical models are explored.