scholarly journals Feedforward Neural Network Based Time-Varying State-Transition-Matrix of Tschauner-Hempel Equations

2021 ◽  
Author(s):  
Maozhang Zheng ◽  
Jianjun Luo ◽  
Zhaohui Dang
Keyword(s):  
Neural Network ◽  
Transition Matrix ◽  
State Transition ◽  
Feedforward Neural Network ◽  
State Transition Matrix ◽  
Time Varying

scholarly journals Target Tracking in WSN using Time Delay Neural Network

2017 ◽  
Vol 2 (2) ◽  
pp. 16-22
Author(s):  
Jayesh Himmatbhai Munjani ◽  
Maulin Joshi
Keyword(s):  
Neural Network ◽  
Kalman Filter ◽  
Time Delay ◽  
Transition Matrix ◽  
State Transition ◽  
State Transition Matrix ◽  
Prediction Algorithm ◽  
Multiple Model ◽  
Target Movement ◽  
Model Free

Energy efficient tracking is a challenging application of resource constrained wireless sensor network. Prediction based schemes play a vital role in energy saving by reducing an avoidable communication. Efficient tracking can be achieved only if state transition matrix used in filter closely resembles the target movement. Kalman filter has been widely used as prediction algorithm but fails in case of maneuvering target because of state transition matrix mismatch. To make tracking algorithm model free, Time delay neural network based prediction algorithm is proposed in this paper. Performance of Time Delay neural network (TDNN) is compared with Kalman filter and Interacting multiple model filter in terms of mean square error. Results shows that TDNN outperforms both the filters.

Numerical Algebra Solution: A New Algorithm for the State Transition Matrix

2017 ◽  
Vol 60 (12) ◽  
pp. 2620-2629 ◽  
Author(s):  
Wenfeng Nie ◽  
Tianhe Xu ◽  
Yujun Du ◽  
Fan Gao ◽  
Guochang Xu
Keyword(s):  
Transition Matrix ◽  
State Transition ◽  
The State ◽  
State Transition Matrix ◽  
Numerical Algebra
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