Items where Author is "Fairbank, M."
Li, S., Won, H., Fu, X. , Fairbank, M., Wunsch, D. C. & 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, 50(7),
pp. 3218-3230.
doi: 10.1109/tcyb.2019.2897653
Li, S., Fu, X., Alonso, E. , Fairbank, M. & 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. doi: 10.1109/ICRERA.2015.7418673
Fu, X., Li, S., Fairbank, M. , Wunsch, D. C. & 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. & 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
Shuhui, L., Fu, X., Jaithwa, I. , Alonso, E., Fairbank, M. & 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. & 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.
Fairbank, M., Prokhorov, D. & 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. & 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. (2014). Value-Gradient Learning. (Unpublished Doctoral thesis, City University London)
Fairbank, M., Alonso, E. & 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. & 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., Prokhorov, D. & Alonso, E. (2013). Approximating Optimal Control with Value Gradient Learning. In: Lewis, F. & Liu, D. (Eds.), Reinforcement Learning and Approximate Dynamic Programming for Feedback Control. (pp. 142-161). Hoboken, NJ, USA: Wiley-IEEE Press. doi: 10.1002/9781118453988
Alonso, E. & 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.
Li, S., Fairbank, M., Fu, X. , Wunsch, D. C. & 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.
Fairbank, M., Alonso, E. & 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. & 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), 7, pp. 1-8. doi: 10.1109/ijcnn.2012.6252569
Fairbank, M. & 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. doi: 10.1109/IJCNN.2012.6252569
Alonso, E., Fairbank, M. & 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. & 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. & 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. doi: 10.1109/IJCNN.2012.6252791
Li, S., Fairbank, M., Wunsch, D. C. & 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. doi: 10.1109/IJCNN.2012.6252614
Fairbank, M. & 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. doi: 10.1109/IJCNN.2012.6252792