Mar 1, 2013 · As a better alternative, we propose using the recurrent high-order neural networks to identify and control the urdmown chaotic systems, in which ...
Oct 22, 2024 · As a better alternative, we propose using the recurrent high-order neural networks to identify and control the urdmown chaotic systems, in which ...
[PDF] Identification and Control Of Chaotic Systems Via Recurrent ...
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This paper proposes using the recurrent high-order neural networks to identify and control the unknown chaotic systems, in which the Lyapunov synthesis ...
As a better alternative, we propose using the recurrent high-order neural networks to identify and control the urdmown chaotic systems, in which the Lyapunov ...
Identification and Control Of Chaotic Systems Via Recurrent High-Order Neural Networks. Z. Lu, L. Shieh, G. Chen, and J. Chandra. Intell. Autom.
Identification and Control Of Chaotic Systems Via Recurrent High-Order Neural Networks Check holdings at Shatin Storage Serials (Back issues) (Shatin) ...
In this paper, we propose using the recurrent high-order neural network for both identifying and controlling unknown chaotic systems, in which the feedback ...
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Jun 4, 2024 · This paper presents a First-Order Recurrent Neural Network activated by a wavelet function, in particular a Morlet wavelet, with a fixed set of parameters and ...
ABSTRACT In this paper, we present a chaos control algorithm, based on the OGY method, to control chaotic behavior in high order dynamical systems. To begin ...