State estimation for a class of artificial neural networks with stochastically corrupted measurements under Round-Robin protocol

State Estimation ◽

Round Robin ◽

l2–l∞ state estimation for delayed artificial neural networks under high-rate communication channels with Round-Robin protocol

Neural Networks ◽

10.1016/j.neunet.2020.01.013 ◽

2020 ◽

Vol 124 ◽

pp. 170-179 ◽

Cited By ~ 4

Author(s):

Yuxuan Shen ◽

Zidong Wang ◽

Bo Shen ◽

Fuad E. Alsaadi ◽

Abdullah M. Dobaie

Keyword(s):

Neural Networks ◽

State Estimation ◽

Communication Channels ◽

Round Robin ◽

High Rate ◽

UKF-based remote state estimation for discrete artificial neural networks with communication bandwidth constraints

Neural Networks ◽

10.1016/j.neunet.2018.08.015 ◽

2018 ◽

Vol 108 ◽

pp. 393-398 ◽

Cited By ~ 4

Author(s):

Yang Liu ◽

Zidong Wang ◽

Donghua Zhou

Keyword(s):

Neural Networks ◽

State Estimation ◽

Artificial Neural ◽

Remote State Estimation

State Estimation Technique And Predictive Control Based On Artificial Neural Networks

Workshop on Neural Network Applications and Tools ◽

10.1109/nnat.1993.586062 ◽

2005 ◽

Author(s):

N.A. Jalel ◽

R. Malcolm ◽

J.R. Leigh

Keyword(s):

Neural Networks ◽

State Estimation ◽

Predictive Control ◽

Estimation Technique ◽

State estimation using artificial neural networks

[1990] Proceedings. The Twenty-Second Southeastern Symposium on System Theory ◽

10.1109/ssst.1990.138206 ◽

2002 ◽

Cited By ~ 4

Author(s):

A.J. Kanekar ◽

A. Feliachi

Keyword(s):

Neural Networks ◽

State Estimation ◽

Multilayer artificial neural networks for real time power system state estimation

2015 IEEE Electrical Power and Energy Conference (EPEC) ◽

10.1109/epec.2015.7379974 ◽

2015 ◽

Cited By ~ 5

Author(s):

Hossam Mosbah ◽

Mo. El-Hawary

Keyword(s):

Neural Networks ◽

Power System ◽

State Estimation ◽

Real Time ◽

System State ◽

Power System State Estimation ◽

Kinematic state estimation of air-borne targets using frequency-weighted Kalman filter aided by artificial neural networks

2004 IEEE Region 10 Conference TENCON 2004. ◽

10.1109/tencon.2004.1414473 ◽

2005 ◽

Author(s):

S. Bhattacharya ◽

S. Verma ◽

S. Mukhopadhyay

Keyword(s):

Neural Networks ◽

Kalman Filter ◽

State Estimation ◽

Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: A gain-scheduled approach

Neural Networks ◽

10.1016/j.neunet.2020.08.023 ◽

2020 ◽

Vol 132 ◽

pp. 211-219 ◽

Cited By ~ 1

Author(s):

Shuai Liu ◽

Zidong Wang ◽

Yun Chen ◽

Guoliang Wei

Keyword(s):

Neural Networks ◽

State Estimation ◽

Multiplicative Noises ◽

Dynamic Event ◽

Artificial Neural ◽

Event Based ◽

Gain Scheduled

Efficient Hardware Implementation of Nonlinear Moving-horizon State Estimation with Artificial Neural Networks

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.1879 ◽

2020 ◽

Vol 53 (2) ◽

pp. 7813-7818

Author(s):

Rafael Koji Vatanabe Brunello ◽

Renato Coral Sampaio ◽

Carlos H Llanos ◽

Leandro dos Santos Coelho ◽

Helon Vicente Hultmann Ayala

Keyword(s):

Neural Networks ◽

State Estimation ◽

Hardware Implementation ◽

Topology processing and static state estimation using artificial neural networks

IEE Proceedings - Generation Transmission and Distribution ◽

10.1049/ip-gtd:19960050 ◽

1996 ◽

Vol 143 (1) ◽

pp. 99 ◽

Cited By ~ 28

Author(s):

D.M. Vinod Kumar ◽

S.C. Srivastava ◽

S. Shah ◽

S. Mathur

Keyword(s):

Neural Networks ◽

State Estimation ◽

Static State ◽

Applications of dynamic artificial neural networks in state estimation and nonlinear process control

Neural Network Applications in Control ◽

10.1049/pbce053e_ch7 ◽

2011 ◽

pp. 141-160 ◽

Cited By ~ 2

Author(s):

P. Turner ◽

J. Morris ◽

G. Montague

Keyword(s):

Neural Networks ◽

Process Control ◽

State Estimation ◽

Nonlinear Process ◽

Nonlinear Process Control ◽