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Publications

Found 9 results
Filters: Author is Tucker, D.  [Clear All Filters]
2017
V. Zaccaria, Traverso, A., Tucker, D., Pezzini, P., and Bryden, K. M., Active Control of Fuel Cell Degradation in an SOFC/GT Hybrid System, Proceedings of the ASME Turbo Expo: Turbine Technical Conference and Exposition, 2017, Vol 3, p. V003T06A035, 2017.
G. Mirlekar, Pezzini, P., Bryden, M., Tucker, D., and Lima, F. V., A Biologically-Inspired Optimal Control Strategy (BIO-CS) for Hybrid Energy Systems, 2017 American Control Conference, IEEE, pp. 4821-4826, 2017.
L. Shadle, Tucker, D., Breault, R., Bayham, S., Weber, J., Pezzini, P., Bryden, K. M., Monazam, E., and Panday, R., Cyber-Physical Observer for Fluidized Bed-Chemical Looping Control Applications, Proceedings of the ASME Turbo Expo: Turbine Technical Conference and Exposition, 2017, Vol 3, p. V003T06A031, 2017.
A. Tsai, Pezzini, P., Tucker, D., and Bryden, K. M., Multiple-Model Adaptive Control of a Hybrid Solid Oxide Fuel Cell Gas Turbine Power Plant Simulator, Proceedings of the ASME Turbo Expo: Turbine Technical Conference and Exposition, 2017, Vol 6, p. V006T05A036, 2017.
D. Tucker, Harun, N. F., Zaccaria, V., Bryden, K. M., Haynes, C., and , Real-Time Fuel Cell Model Development Challenges for Cyber-Physical Systems in Hybrid Power Applications, Proceedings of the ASME Turbo Expo: Turbine Technical Conference and Exposition, 2017, Vol 3, p. V003T06A039, 2017.
2016
M. Colby, Yliniemi, L., Pezzini, P., Tucker, D., Bryden, K., and Tumer, K., Multiobjective Neuroevolutionary Control for a Fuel Cell Turbine Hybrid Energy System, 16: Proceedings of the 2016 Genetic and Evolutionary Computation Conference, pp. 877-884, 2016.
S. Khadka, Tumer, K., Colby, M., Tucker, D., Pezzini, P., and Bryden, K., Neuroevolution of a Hybrid Power Plant Simulator, 16: Proceedings of the 2016 Genetic and Evolutionary Computation Conference, pp. 917-924, 2016.