Creator:

Poznyak, Alexander S. ; Yu, Wen ; Sanchez, Edgar N. ; Sira-Ramirez, Hebertt

Contributor:

Yu, Xinghuo - red.

Title:

Robust identification by dynamic neural networks using sliding mode learning

Subtitle:

Adaptive Learning and Control Using Sliding Modes

Group publication title:

AMCS, volume 8 (1998)

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:

1998

Resource Type:

artykuł

Pages:

135-144

Source:

AMCS, volume 8, number 1 (1998) ; click here to follow the link

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego