[PF18] Luís Tiago Paiva, Fernando A.C.C.Fontes. "Optimal Control Algorithms with Adaptive Time-Mesh Refinement for Kite Power Systems". Energies 2018, 11, 475; doi:10.3390/en11030475.

[S18] P.M. Santos, João G.P. Rodrigues, Susana B. Cruz, Tiago Lourenço, Pedro M. d’Orey, Yunior Luis, Cecília Rocha, Sofia Sousa, Sérgio Crisóstomo, Cristina Queirós, Susana Sargento, A. Aguiar, J. Barros, "PortoLivingLab: an IoT-based Sensing Platform for Smart Cities," in IEEE Internet of Things Journal, vol. PP, no. 99, pp. 1-1. 2018, doi: 10.1109/JIOT.2018.2791522.

[C17] Ricardo Costa, Stéphane Clain, Gaspar J. Machado, R. Loubère, "A very-high order accurate staggered finite volume scheme for the stationary incompressible Navier-Stokes and Euler equations on unstructured meshes", Journal of Scientific Computing, 71 (2017), 137--1411. doi: 10.1007/s10915-016-0348-9.

[B16] A. Boccia, M.D.R. De Pinho, R.B. Vinter. "Optimal control problems with mixed and pure state constraints", SIAM Journal on Control and Optimization 54 (6), 3061-3083, 2016.

[C15] Carlos J. Ramos, António P. Martins, Adriano S. Carvalho, "Frequency and Phase-Angle Estimation Using Ordinary Least Squares", IEEE Transactions on Industrial Electronics, vol.72, nº9, pp. 5677-5688, Sept. 2015.

Project Bibliographic References

[ADS14] Ahrens, Uwe, Moritz Diehl, and Roland Schmehl. "Airborne wind energy". Springer, 2014.

[BdS07] Borges de Sousa, J., Johansson, K. H., Silva, J. and Speranzon, A., "A verified hierarchical control architecture for co-ordinated multi-vehicle operations". Int. J. Adapt. Control Signal Process. (2007), 21: 159–188. doi: 10.1002/acs.920

[CFM10] Canale, Massimo, Lorenzo Fagiano, and Mario Milanese. "High altitude wind energy generation using controlled power kites". Control Systems Technology, IEEE Transactions on 18.2 (2010): 279-293.

[Col13] J. Coleman, H. Ahmad, E. Pican, D. Toal. "Non-Reversing Generators in a Novel Design for Pumping Mode Airborne Wind Energy Farm" in: U. Ahrens, M. Diehl, R. Schmehl (Eds.), Airborne Wind Energy, Springer, Berlin Heidelberg, 2013, Ch. 34, pp. 587–597. doi:10.1007/978-3-642-39965-7_34.

[EPREV] A. Rodrigues, J. A. Lopes, P. Miranda, J. Palma, C. Monteiro, J. N. Sousa, R. Bessa, C. Rodrigues, J. Matos. "EPREV - A Wind Power Forecasting Tool for Portugal", European Wind Energy Conference, 2007.

[F01] Fernando A.C.C. Fontes. "A general framework to design stabilizing nonlinear model predictive controllers", Systems & Control Letters 42 (2), 127-143.

[FFC09] Fernando A.C.C. Fontes, Dalila B.M.M. Fontes, Amélia C.D. Caldeira. "Model predictive control of vehicle formations." Optimization and Cooperative Control Strategies. Springer Berlin Heidelberg, 2009. 371-384.

[FFC12] Dalila B.M.M. Fontes, Fernando A.C.C. Fontes, Amélia C.D. Caldeira. "Optimal formation Switching with collision avoidance and allowing variable agent velocities." Dynamics of Information Systems: Mathematical Foundations. Springer New York, 2012. 207-224.

[FFR12] Fernando A.C.C. Fontes, Dalila B.M.M. Fontes, L.A. Roque. "An optimal control approach to the Unit Commitment problem." IEEE 51st Annual Conference on Decision and Control (CDC), 2012.

[FH15] Fernando A.C.C. Fontes, Helene Frankowska. “Normality and Nondegeneracy for Optimal Control Problems with State Constraints”. Journal of Optimization Theory and Applications, 2015.

[FL13] Fernando A.C.C. Fontes, Sofia O. Lopes. “Normal Forms of Necessary Conditions for Dynamic Optimization Problems with Pathwise Inequality Constraints”. Journal of Mathematical Analysis and Applications, Vol.399 nº 1, pp.27-37, 2013

[FM03] Fernando A.C.C. Fontes, Lalo Magni. “Min-Max model predictive control of nonlinear systems using discontinuous feedback”, IEEE Transactions on Automatic Control, Vol.48 nº 10, pp.1750-1755, 2003.

[FM11] L Fagiano, M. Milanese. "Control for Wind Power", In "The Impact of Control Technology, T. Samad and A.M. Annaswamy (eds.), IEEE Control Systems Society, 2011

[FMG07] Fernando A.C.C. Fontes, Lalo Magni, Éva Gyurkovics. "Sampled-data model predictive control for nonlinear time-varying systems: Stability and robustness." Assessment and Future Directions of Nonlinear Model Predictive Control. Springer Berlin Heidelberg, 115-129, 2007.

[GZD12] Gros, S., Zanon, M., Vukov, M., Diehl, M. (2012). "Nonlinear MPC and MHE for mechanical multi-body systems with application to fast tethered airplanes". In Proceedings of the 4th IFAC Nonlinear Model Predictive Control Conference, Noordwijkerhout, The Netherlands.

[GZD13] Gros, S., Zanon, M., Diehl, M. (2013, July). "Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving Horizon Estimation". In Control Conference (ECC), 2013 European (pp. 1017-1022). IEEE.

[HFD11] Houska, B., Ferreau, H. J., Diehl, M. (2011). "ACADO toolkit—An open‐source framework for automatic control and dynamic optimization". Optimal Control Applications and Methods, 32(3), 298-312.

[HH14] Heilmann, J., Houle, C. (2014). "Economics of Pumping Kite Generators". In Airborne Wind Energy (pp. 271-284). Springer Berlin Heidelberg.

[L80] Loyd, M. L. (1980). "Crosswind Kite Power (for large-scale wind power production)". Journal of Energy, 4(3), 106-111.

[LS11] Guest Editorial Special Issue on Applied LPV Modeling and Identification. Marco Lovera, Carlo Novara, P. Lopes dos Santos, Daniel Rivera. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY Vol. 19 Nº. 1 p. 1-4.

[LS12] Lopes Dos Santos, P; Azevedo Perdicoúlis, T.P.; Novara, Carlo;Ramos, JA; Rivera, DE. "Linear Parameter-Varying System Identification", 2012, World Scientifi.c

[MM05] C. Monteiro , V. Miranda. "Negotiation Aid System to Define Priority Maps for Wind Farm Development". IEEE Transactions on Power Systems, Vol.20 nº 2, pp.618-626, 2005.

[NFM11] Novara, C., Fagiano, L., Milanese, M. (2011, September). "Direct data-driven inverse control of a power kite for high altitude wind energy conversion". In Control Applications (CCA), 2011 IEEE International Conference on (pp. 240-245). IEEE.

[PF15a] Luís Tiago Paiva, Fernando A.C.C. Fontes. "Mesh–Refinement Strategies for Optimal Control of Kite Power Systems". AWEC2015 Airborne Wind Energy Conference, Delft. Netherlands, 2015.

[PF15] Luís Tiago Paiva, Fernando A.C.C. Fontes. “Adaptive Time-Mesh Refinement in Optimal Control Problems with State Constraints”, Discrete and Continuous Dynamical Systems, 35 (9), 4553-4572, 2015.

[PF17a] Luís Tiago Paiva, Fernando A C C Fontes. "Optimal Control of Kite Power Systems: Mesh-Refinement Strategies". 4th International Conference on Energy and Environment Research (ICEER 2017) Porto, Portugal, July 17-20, 2017.

[PF17b] Luís Tiago Paiva, Fernando A.C.C. Fontes. "Optimal Control of Underwater Kite Power Systems", Proceedings of the IEEE Conference Energy and Sustainability in Small Developing Economies - ES2DE, Funchal, Madeira 2017 (BEST PAPER AWARD).

[PVP11] J.M.L.M. Palma, C. Veiga Rodrigues, Luís Tiago Paiva, "The representativeness of microscale CFD results: Characterization of wind conditions over complex terrain", EERA'11 – European Energy Research Alliance - Workshop on Wind Conditions, 2011.

[PVP14] Luís Tiago Paiva, C. Veiga Rodrigues and J.M.L.M. Palma, "Determining wind turbine power curves based on operating conditions", Wind Energy, 17 (10), pp. 1563–1575, 2014. DOI: 10.1002/we.1651.

[RFF14] L.A.C. Roque, D.B.M.M. Fontes, F.A.C.C. Fontes. "A hybrid biased random key genetic algorithm approach for the unit commitment problem", Journal of Combinatorial Optimization. Volume 28, Issue 1, pp 140-166, 2014.

[Soa14] Soares, J.R. , Sá, T., Araújo, A.S., Carvalho, A.S. "A new FPGA based PMSM torque controller for hybrid and electric vehicles powertrain". 27th World Electric Vehicle Symposium and Exhibition, EVS 2014, Barcelona, Spain.

[SP06] Sousa, J.B., Pereira, F.L. "A set-valued framework for coordinated motion control of networked vehicles", Journal of Computer and Systems Sciences International, 45 (5), pp. 824-830, 2006.

[T14] Tiago C.M. Maia, "Optimal control of power kites for wind power production". MSc thesis, MSc in Electrical and Computer Engineering, Univ. Porto 2014. (Supervisors: F.A.C.C. Fontes and L.T. Paiva)