Frequency Domain Estimation of Parallel Hammerstein Systems using Gaussian Process Regression
Frequency Domain Estimation of Parallel Hammerstein Systems using Gaussian Process Regression is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include nonlinear system, Gaussian process, Volterra series, linear system, covariance function, Structural health monitoring, polynomial, Gaussian, biological function, frequency domain, series, computer science, noise, covariance, system identification, control theory, fault detection and isolation, applied mathematics, mathematics, and algorithm. The authors extend a linear Gaussian process regression method to the nonlinear setting, where the pseudo-linear form of Hammerstein NOFRFs can be exploited by applying standard covariance structures from the linear theory.