MIMO channel modeling with cluster configuration of Complex Time Delay Fully Recurrent Neural Network

2011 ◽  
Author(s):  
Kandarpa Kumar Sarma ◽  
Abhijit Mitra
Keyword(s):  
Neural Network ◽  
Time Delay ◽  
Recurrent Neural Network ◽  
Channel Modeling ◽  
Mimo Channel ◽  
Complex Time ◽  
Cluster Configuration

scholarly journals Stability and Bifurcation Analysis of a Three-Dimensional Recurrent Neural Network with Time Delay

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Yingguo Li
Keyword(s):  
Neural Network ◽  
Time Delay ◽  
Recurrent Neural Network ◽  
Center Manifold ◽  
Dynamical Behavior ◽  
Three Dimensional ◽  
Nonlinear Dynamical ◽  
Bifurcation Direction ◽  
The Stability ◽  
Manifold Theory

We consider the nonlinear dynamical behavior of a three-dimensional recurrent neural network with time delay. By choosing the time delay as a bifurcation parameter, we prove that Hopf bifurcation occurs when the delay passes through a sequence of critical values. Applying the nor- mal form method and center manifold theory, we obtain some local bifurcation results and derive formulas for determining the bifurcation direction and the stability of the bifurcated periodic solution. Some numerical examples are also presented to verify the theoretical analysis.

Multifunctional Electrical Prosthetic Hand -Development of Tendon-driven Mechanism and Controller

2002 ◽  
Vol 14 (6) ◽  
pp. 557-564 ◽  
Author(s):  
Wenwei Yu ◽  
◽  
Daisuke Nishikawa ◽  
Yasuhiro Ishikawa ◽  
Hiroshi Yokoi ◽  
...  
Keyword(s):  
Neural Network ◽  
Time Delay ◽  
Recurrent Neural Network ◽  
Network Models ◽  
Joint Torque ◽  
Prosthetic Hand ◽  
Neural Network Models ◽  
Nonlinear Properties ◽  
The Stability

The purpose of this research was to develop a tendondriven electrical prosthetic hand, which is characterized by its mechanical torque-velocity converter and a mechanism that can assist proximal joint torque by distal actuators. To cope with time-delay and nonlinear properties of the prosthetic hand, a controller based on a Jordan network, recurrent neural network models, is proposed. The results of experiments on the stability of the controller are confirmed when tracking static wire tensions. Finally, the next prototype of prosthetic hand based on these methods is introduced.

scholarly journals An Improved Neural Network Based on Parasitism – Predation Algorithm for an Automatic Voltage Regulator

2021 ◽  
Vol 19 (2) ◽  
pp. 136-144
Author(s):  
Widi Aribowo ◽  
Bambang Suprianto ◽  
I Gusti Putu Asto Buditjahjanto ◽  
Mahendra Widyartono ◽  
Miftahur Rohman
Keyword(s):  
Neural Network ◽  
Time Delay ◽  
Recurrent Neural Network ◽  
Optimization Method ◽  
Voltage Regulator ◽  
Backpropagation Neural Network ◽  
Automatic Voltage Regulator ◽  
Distributed Time Delay ◽  
Rotor Angle ◽  
Elman Recurrent Neural Network

The parasitism – predation algorithm (PPA) is an optimization method that duplicates the interaction of mutualism between predators (cats), parasites (cuckoos), and hosts (crows). The study employs a combination of the PPA methods using the cascade-forward backpropagation neural network. This hybrid method employs an automatic voltage regulator (AVR) on a single machine system, with the performance measurement focusing on speed and the rotor angle. The performance of the proposed method is compared with the feed-forward backpropagation neural network (FFBNN), cascade-forward backpropagation neural network (CFBNN), Elman recurrent neural network (E-RNN), focused time-delay neural network (FTDNN), and distributed time-delay neural network (DTDNN). The results show that the proposed method exhibits the best speed and rotor angle performance. The PPA-CFBNN method has the ability to reduce the overshoot of the speed by 1.569% and the rotor angle by 0.724%.

A Soft Ground Reaction Force Sensor System Utilizing Time-Delay Recurrent Neural Network

2020 ◽  
Vol 20 (18) ◽  
pp. 10851-10861 ◽  
Author(s):  
Hyo Seung Han ◽  
Juyoung Yoon ◽  
Seungkyu Nam ◽  
Sangin Park ◽  
Dong Jin Hyun
Keyword(s):  
Neural Network ◽  
Time Delay ◽  
Recurrent Neural Network ◽  
Ground Reaction Force ◽  
Reaction Force ◽  
Force Sensor ◽  
Sensor System ◽  
Soft Ground
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