Title :
Nonlinear systems with Gaussian inputs: Representation, identification and inverse problems
Author_Institution :
University of North Carolina, Chapel Hill, North Carolina
Abstract :
The following questions are discussed for non-linear systems with input Gaussian processes. How can the system be represented? How can the system be identified from the input and output processes? Does knowledge of the way the system responds to a certain Gaussian input determine the way it will respond to another Gaussian input or to a deterministic input? Does knowledge of the system and the statistics of the output determine the statistics of the input?.
Keywords :
Gaussian processes; Hilbert space; Integral equations; Inverse problems; Kernel; Nonlinear systems; Statistics; System identification; White noise; Yttrium;
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1979 18th IEEE Conference on
Conference_Location :
Fort Lauderdale, FL, USA
DOI :
10.1109/CDC.1979.270108
