Title :
Neural methodology for prediction and identification of nonlinear dynamic systems
Author :
Alippi, Cesare ; Piuri, Vincenzo
Author_Institution :
CSISEI, Politecnico di Milano, Italy
Abstract :
A structured design methodology is introduced to support and guide the designer in using neural techniques to identify and predict complex dynamic nonlinear systems
Keywords :
identification; large-scale systems; neural nets; nonlinear dynamical systems; prediction theory; identification; neural techniques; nonlinear dynamic systems; prediction; structured design methodology; Adaptive control; Computational complexity; Design methodology; Monitoring; Noise robustness; Nonlinear dynamical systems; Nonlinear equations; Open loop systems; Predictive control; Programmable control;
Conference_Titel :
Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, 1996. Proceedings., International Workshop on
Conference_Location :
Venice
Print_ISBN :
0-8186-7456-3
DOI :
10.1109/NICRSP.1996.542773
