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Number of items: **22**.

Li, S., Won, H., Fu, X., Fairbank, M., Wunsch, D. C. and Alonso, E. ORCID: 0000-0002-3306-695X (2019).
Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results.
*IEEE Transactions on Cybernetics*,
doi: 10.1109/TCYB.2019.2897653

Fu, X., Li, S., Fairbank, M., Wunsch, D. C. and Alonso, E. (2015).
Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter.
*IEEE Transactions on Neural Networks and Learning Systems*, 26(9),
pp. 1900-1912.
doi: 10.1109/TNNLS.2014.2361267

Alonso, E., Fairbank, M. and Mondragon, E. ORCID: 0000-0003-4180-1261 (2015).
Back to optimality: a formal framework to express the dynamics of learning optimal behavior.
*Adaptive Behavior*, 23(4),
pp. 206-215.
doi: 10.1177/1059712315589355

Fairbank, M., Prokhorov, D. and Alonso, E. (2014).
Clipping in Neurocontrol by Adaptive Dynamic Programming.
*IEEE Transactions on Neural Networks and Learning Systems*, 25(10),
pp. 1909-1920.
doi: 10.1109/TNNLS.2014.2297991

Fairbank, M., Li, S., Fu, X., Alonso, E. and Wunsch, D. C. (2014).
An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances.
*Neural Networks*, 49,
pp. 74-86.
doi: 10.1016/j.neunet.2013.09.010

Fairbank, M., Alonso, E. and Prokhorov, D. (2013).
An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time.
*IEEE Transactions on Neural Networks and Learning Systems*, 24(12),
pp. 2088-2100.
doi: 10.1109/TNNLS.2013.2271778

Li, S., Fairbank, M., Johnson, C., Wunsch, D. C., Alonso, E. and Proano, J. L. (2013).
Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions.
*IEEE Transactions on Neural Networks and Learning Systems*, 25(4),
pp. 738-750.
doi: 10.1109/TNNLS.2013.2280906

Fairbank, M., Alonso, E. and Prokhorov, D. (2012).
Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks.
*IEEE Transactions on Neural Networks and Learning Systems*, 23(10),
pp. 1671-1676.
doi: 10.1109/TNNLS.2012.2205268

Fairbank, M. and Alonso, E. (2012).
A Comparison of Learning Speed and Ability to Cope Without Exploration between DHP and TD(0).
*The 2012 International Joint Conference on Neural Networks (IJCNN)*,
pp. 1478-1485.
doi: 10.1109/IJCNN.2012.6252569

Fairbank, M. and Alonso, E. (2012).
Efficient Calculation of the Gauss-Newton Approximation of the Hessian Matrix in Neural Networks.
*Neural Computation*, 24(3),
pp. 607-610.
doi: 10.1162/NECO_a_00248

Fairbank, M., Prokhorov, D. and Alonso, E. (2013).
Approximating Optimal Control with Value Gradient Learning.
In: Lewis, F. and Liu, D. (Eds.),
*Reinforcement Learning and Approximate Dynamic Programming for Feedback Control.*
(pp. 142-161). Hoboken, NJ, USA: Wiley-IEEE Press.
ISBN 111810420X

Li, S., Fairbank, M., Fu, X., Wunsch, D. C. and Alonso, E. (2013).
Nested-Loop Neural Network Vector Control of Permanent Magnet Synchronous Motors.
In:
*India Conference, 2008. INDICON 2008. Annual IEEE.*
(pp. 81-86). IEEE.
ISBN 978-1-4673-6128-6

Li, S., Fu, X., Alonso, E., Fairbank, M. and Wunsch, D. C. (2016).
*Neural-network based vector control of VSCHVDC transmission systems*.
Paper presented at the 4th International Conference on Renewable Energy Research and Applications (ICRERA), 22-25 Nov 2015, Palermo, Italy.

Shuhui, L., Fu, X., Jaithwa, I., Alonso, E., Fairbank, M. and Wunsch, D. C. (2015).
*Control of Three-Phase Grid-Connected Microgrids Using Artificial Neural Networks*.
Paper presented at the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 12-11-2015 - 14-11-2015, Lisbon, Portugal.

Li, S., Alonso, E., Fairbank, M., Jaithwa, I. and Wunsch, D. C. (2015).
*Hardware Validation for Control of Three-Phase Grid-Connected Microgrids Using Artificial Neural Networks*.
Paper presented at the 12th International Conference on Applied Computing 2015, 24-10-2015 - 26-10-2015, Maynooth, Ireland.

Alonso, E. and Fairbank, M. (2013).
*Emergent and Adaptive Systems of Systems*.
Paper presented at the 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 13-10-2013 - 16-10-2013, Manchester, UK.

Fairbank, M. and Alonso, E. (2012).
*A Comparison of Learning Speed and Ability to Cope Without Exploration between DHP and TD(0)*.
Paper presented at the IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2012), 1783-1789, 10-15-2012, Brisbane, Australia.

Alonso, E., Fairbank, M. and Mondragon, E. ORCID: 0000-0003-4180-1261 (2012).
*Conditioning for Least Action*.
Paper presented at the 11th International Conference on Cognitive Modeling, 13-04-2012 - 15-04-2012, Berlin, Germany.

Fairbank, M. and Alonso, E. (2012).
*Value-Gradient Learning*.
Paper presented at the WCCI 2012 IEEE World Congress on Computational Intelligence, 10-06-2012 - 15-06-2012, Brisbane, Australia.

Li, S., Fairbank, M., Wunsch, D. C. and Alonso, E. (2012).
*Vector Control of a Grid-Connected Rectifier/Inverter Using an Artificial Neural Network*.
Paper presented at the IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2012), 1783-1789, 10-15-2012, Brisbane, Australia.

Fairbank, M. and Alonso, E. (2012).
*The divergence of reinforcement learning algorithms with value-iteration and function approximation*.
Paper presented at the The 2012 International Joint Conference on Neural Networks (IJCNN), 10-06-2012 - 15-06-2012, Brisbane, Australia.

Fairbank, M. (2014).
*Value-Gradient Learning*.
(Unpublished Doctoral thesis, City University London)