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Michael Fairbank
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Artificial neural networks for control of a grid-connected rectifier/inverter under disturbance, dynamic and power converter switching conditions
S Li, M Fairbank, C Johnson, DC Wunsch, E Alonso, JL Proao
IEEE transactions on neural networks and learning systems 25 (4), 738-750, 2013
1522013
Training recurrent neural networks with the Levenberg–Marquardt algorithm for optimal control of a grid-connected converter
X Fu, S Li, M Fairbank, DC Wunsch, E Alonso
IEEE transactions on neural networks and learning systems 26 (9), 1900-1912, 2014
1162014
An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances
M Fairbank, S Li, X Fu, E Alonso, D Wunsch
Neural Networks 49, 74-86, 2014
512014
Value-gradient learning
M Fairbank, E Alonso
Neural Networks (IJCNN), The 2012 International Joint Conference on, 3062–3069., 2012
452012
Simple and fast calculation of the second-order gradients for globalized dual heuristic dynamic programming in neural networks
M Fairbank, E Alonso, D Prokhorov
IEEE transactions on neural networks and learning systems 23 (10), 1671-1676, 2012
442012
Neural-network vector controller for permanent-magnet synchronous motor drives: Simulated and hardware-validated results
S Li, H Won, X Fu, M Fairbank, DC Wunsch, E Alonso
IEEE transactions on cybernetics 50 (7), 3218-3230, 2019
432019
The divergence of reinforcement learning algorithms with value-iteration and function approximation
M Fairbank, E Alonso
The 2012 International Joint Conference on Neural Networks (IJCNN), 2012
422012
An equivalence between adaptive dynamic programming with a critic and backpropagation through time
M Fairbank, E Alonso, D Prokhorov
IEEE Transactions on Neural Networks and Learning Systems 24 (12), 2088-2100, 2013
372013
Vector control of a grid-connected rectifier/inverter using an artificial neural network
S Li, DC Wunsch, M Fairbank, E Alonso
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-7, 2012
292012
Control of a buck DC/DC converter using approximate dynamic programming and artificial neural networks
W Dong, S Li, X Fu, Z Li, M Fairbank, Y Gao
IEEE Transactions on Circuits and Systems I: Regular Papers 68 (4), 1760-1768, 2021
272021
Convolutional neural networks applied to high-frequency market microstructure forecasting
J Doering, M Fairbank, S Markose
2017 9th computer science and electronic engineering (ceec), 31-36, 2017
26*2017
Reinforcement learning by value gradients
M Fairbank
arXiv preprint arXiv:0803.3539, 2008
222008
Value-Gradient Learning
M Fairbank
City University London, 2014
132014
A comparison of deep-learning methods for analysing and predicting business processes
I Venugopal, J Töllich, M Fairbank, A Scherp
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
122021
The local optimality of reinforcement learning by value gradients, and its relationship to policy gradient learning
M Fairbank, E Alonso
arXiv preprint arXiv:1101.0428, 2011
122011
Systems, methods and devices for vector control of permanent magnet synchronous machines using artificial neural networks
S Li, M Fairbank, X Fu, D Wunsch, E Alonso
US Patent 9,754,204, 2017
112017
Approximating optimal control with value gradient learning
M Fairbank, D Prokhorov, E Alonso
Reinforcement learning and approximate dynamic programming for feedback …, 2012
112012
Efficient calculation of the Gauss-Newton approximation of the Hessian matrix in neural networks
M Fairbank, E Alonso
Neural Computation 24 (3), 607-610, 2012
112012
Optimal resampling for the noisy OneMax problem
J Liu, M Fairbank, D Pérez-Liébana, SM Lucas
arXiv preprint arXiv:1607.06641, 2016
102016
Clipping in Neurocontrol by Adaptive Dynamic Programming
M Fairbank, D Prokhorov, E Alonso
IEEE Transactions on Neural Networks and Learning Systems 25 (10), 1909-1920, 2014
102014
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