Items where City Author is "Fairbank1, Michael"
Group by: Item Type | No Grouping Number of items: 20. ArticleFu, 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. (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. & 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., 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., 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), pp. 1478-1485. doi: 10.1109/IJCNN.2012.6252569 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 Book SectionFairbank, M., Prokhorov, D. & Alonso, E. (2013). Approximating Optimal Control with Value Gradient Learning. In: F. Lewis & D. Liu (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. & 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 Conference or Workshop ItemLi, 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. 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. 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. 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. Alonso, E., Fairbank, M. & Mondragon, E. (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). 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. & 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. & 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. |