Creator:
Poznyak, Alexander S. ; Yu, Wen ; Sanchez, Edgar N. ; Sira-Ramirez, Hebertt
Contributor:
Title:
Robust identification by dynamic neural networks using sliding mode learning
Subtitle:
Adaptive Learning and Control Using Sliding Modes
Group publication title:
Subject and Keywords:
sterowanie ; sterowanie-teoria ; sztuczna inteligencja ; matematyka stosowana ; informatyka
Abstract:
The problem of identification of continuous, uncertain nonlinear systems in the presence of bounded disturbances is implemented using dynamic neural networks. The proposed neural identifier guarantees a bound for the state estimation error. This bound turns out to be a linear combination of internal and external uncertainty levels. ; The neural net weights are updated on-line by a learning algorithm based on the sliding mode technique. To the best of the authors' knowledge, such a learning scheme is proposed for dynamic neural networks for the first time. Numerical simulations illustrate its effectiveness, even for highly nonlinear systems in the presence of important disturbances
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Date:
Resource Type:
Pages:
Source:
AMCS, volume 8, number 1 (1998) ; click here to follow the link