types of nonlinear systems. Historically, system identification for nonlinear systems has developed by focusing on specific classes of system and can be...

linear, and nonlinear terms if the system is nonlinear, which allows a great deal of flexibility in the identification. In control systems applications...

a nonlinear system (or a non-linear system) is a system in which the change of the output is not proportional to the change of the input. Nonlinear problems...

non-linear systems. Part II: stochastic non-linear systems". Int'l J of Control 41:329-344, 1985. O. Nelles. "Nonlinear System Identification". Springer...

operations. Nonlinear signal processing is closely related to nonlinear system identification and can be implemented in the time, frequency, and spatio-temporal...

analyzed using simple linear methods. Nonlinear data analysis is closely related to nonlinear system identification. In the main analysis phase, analyses...

(1996) ed.): 438–495. doi:10.1214/aoap/1028903535. Billings S.A. "Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal...

NARMAX (Nonlinear AutoRegressive Moving Average model with eXogenous inputs) algorithms which were developed as part of nonlinear system identification can...

offer best approximation properties and have been applied in nonlinear system identification and classification applications. Generative adversarial network...

and Kalman filters. Nonlinear signal processing involves the analysis and processing of signals produced from nonlinear systems and can be in the time...