Bajodah, A.H. (2009). Generalised dynamic inversion spacecraft control design methodologies, IET Control Theory and Applications3(2): 239-251.10.1049/iet-cta:20080044
Battipede, M., Napolitano, P., Perhinschi, M.G., Massotti, L. and Lando, M. (2003). Implementation of an adaptive predictor-corrector neural controller within the NASA IFCS F-15 WVU simulator, Proceedings of the AmericanControl Conference, Denver, CO, USA, pp. 1302-1307.
Clark, R.M. (2000). Uninhabited Combat Vehicles: Airpowerby the People, For the People, But Not with the People, Air University Press, Maxwell Air Force Base, AL.10.21236/ADA382577
Dell’Aquila, R.V., Napolitano, M.R. and Mammarella, M. (2007). Realtime machine-vision-based position sensing system for UAV aerial refueling, Journal of Real-Time ImageProcessing 1(3): 213-224.10.1007/s11554-007-0023-3
Deng, J., Becerra, V.M. and Stobart, R. (2009). Input constraints handling in an MPC/feedback linearization scheme, International Journal of Applied Mathematicsand Computer Science 19(2): 219-232, DOI: 10.2478/v10006-009-0018-2.10.2478/v10006-009-0018-2
Dogan, A. and Kim, E. (2007). Control and simulation of relative motion for aerial refueling in racetrack manoeuvres, Journal of Guidance, Control and Dynamics30(5): 1551-1557.10.2514/1.29487
Dogan, A., Sato, S. and Blake, W. (2005). Flight control and simulation for aerial refuelling, Proceedings of the AIAAGuidance, Navigation and Control Conference and Exhibit,San Francisco, CA, USA, Paper 2005-6264, pp. 1-15.
Elliot, C.M. and Dogan, A. (2010). Investigating nonlinear control architecture options for aerial refueling, Proceedingsof the AIAA Atmospheric Flight Mechanics Conference,Toronto, Canada, Paper 2010-7927.10.2514/6.2010-7927
Fravolini, M.L., Ficola, A., Napolitano, M.R., Campa, G. and Perhinschi, M. G. (2003). Development of modelling and control tools for aerial refuelling for UAVs, Proceedings ofthe AIAA Guidance, Navigation and Control Conferenceand Exhibit, TX, USA, Paper 2003-5798.10.2514/6.2003-5798
Gili, A.P. and Battipede, M. (2001). Adaptive neurocontroller for a nonlinear combat aircraft model, Journal of Guidance,Control and Dynamics 24(5): 910-917.10.2514/2.4827
Hansen, J., Murray, J.E. and Campos, N.V. (2004). The NASA Dryden AAR project: A flight test approach to an aerial refueling system, Proceedings of the AIAA AtmosphericFlight Mechanics Conference, Providence, RI, USA, Paper 2004-4939.10.2514/6.2004-4939
Kamalasadan, S. and Ghandakly, A.A. (2011). A neural network parallel adaptive controller for fighter aircraft pitch-rate tracking, IEEE Transactions on Instrumentation and Measurement60(1): 258-267.10.1109/TIM.2010.2047310
Kaneshige, J.T., Bull, J. and Totah, J.J. (2000). Generic neural flight control and autopilot system, Proceedings ofthe AIAA Guidance, Navigation, and Control Conference,Denver, CO, USA, Paper 2000-4281.10.2514/6.2000-4281
Khanafseh, S.M. and Pervan, B. (2007). Autonomous airborne aerial refueling of unmanned air vehicles using the global position system, Journal of Aircraft 44(5): 1670-1682.10.2514/1.28195
Kung, C.-C. (2008). Nonlinear H∞ robust control applied to F-16 aircraft with mass uncertainty using control surface inverse algorithm, Journal of the Franklin Institute345(6): 851-876.10.1016/j.jfranklin.2008.05.002
Lee, S., Ha, C. and Kim, B.S. (2005). Adaptive nonlinear control system design for helicopter robust command augmentation, Aerospace Science and Technology9(3): 241-251.10.1016/j.ast.2004.12.007
Lombaerts, T.J.J., Chu, Q.P., Mulder, J.A. and Joosten, D.A. (2011). Modular flight control for reconfiguration design and simulation, Control Engineering Practice19(6): 540-554.10.1016/j.conengprac.2010.12.008
MacKunis, W., Patre, P.M., Kaiser, M.K. and Dixon, W.E. (2010). Asymptotic tracking for aircraft via robust and adaptive dynamic inversion methods, IEEE Transactionson Control Systems Technology 18(6): 1448-1456.10.1109/TCST.2009.2039572
Mammarella, M., Campa, G., Napolitano, M.R. and Fravolini, M.L. (2008). Comparison of point matching algorithms for the UAV aerial refueling problem, Machine Vision andApplications 1(3): 213-224.10.1007/s00138-008-0149-8
Mao, W. and Eke, F.O. (2008). A survey of the dynamics and control of aircraft during aerial refueling, Nonlinear Dynamicsand Systems Theory 8(4): 375-388.
McFarland, M.B. and Calise, A.J. (2000). Adaptive nonlinear control of agile antiair missiles using neural networks, IEEE Transactions on Control Systems Technology8(5): 749-756.10.1109/87.865848
Morelli, E.A. (1998). Global nonlinear parametric modeling with application to F-16 aerodynamics, Technical report, Dynamics and Control Branch, NASA Langley Research Centre, Hampton, VA.10.1109/ACC.1998.703559
Ochi, Y. and Kominami, T. (2005). Flight control for automatic aerial refuelling via PNG and LOS angle control, Proceedingsof the AIAA Guidance, Navigation and ControlConference and Exhibit, San Francisco, CA, USA, Paper 2005-6268, pp. 1-11.
Ollero, A. and Merino, L. (2004). Control and perception techniques for aerial robotics, Annual Reviews in Control28(2): 167-178.10.1016/j.arcontrol.2004.05.003
Pachter, M., Houpis, H. and Trosen, D.W. (1997). Design of an air-to-air automatic refueling flight control system using quantitative feedback theory, International Journal of Robustand Nonlinear Control 7(3): 561-580.10.1002/(SICI)1099-1239(199706)7:6<;561::AID-RNC291>3.0.CO;2-V
Pardesi, M.S. (2005). Unmanned aerial vehicles-unmanned combat aerial vehicles: Likely missions and challenges for the policy-relevant future, Air and Space Power Journal19(3): 45-54.
Pashikar, A.A., Sundararajan, N. and Saratchandran, P. (2007). Adaptive nonlinear neural controller for aircraft under actuator failures, Journal of Guidance, Control and Dynamics30(3): 835-847.10.2514/1.26540
Pedro, J.O. (1992). Numerical Simulations of TransportAircraft in Variable Wind Field, Ph.D. thesis, Faculty of Mechanical, Power and Aeronautical Engineering, Warsaw University of Technology, Warsaw, (in Polish, unpublished).
Pedro, J.O. and Bigg, C.G. (2005). Development of a flexible embedded aircraft/Control system simulation facility, Proceedingsof the AIAA Modeling and Simulation Technologies,Conference and Exhibit, San Francisco, CA, USA, pp. 1-25.
Pollini, L., Campa, G., Giulietti, F. and Innocenti, M. (2003). Virtual simulation set-up for UAVs aerial refuelling, Proceedingsof the AIAA Guidance, Navigation and ControlConference and Exhibit, Austin, TX, USA, Paper 2003-5682, pp. 1-8.
Reiner, J., Balas, G.J. and Garrard, W.L. (1996). Flight control design using robust dynamic inversion and time scale separation, Automatica 32(11): 1493-1504.10.1016/S0005-1098(96)00101-X
Soares, F., Burken, J. and Marwala, T. (2006). Neural network applications in advanced aircraft flight control system, a hybrid system, a flight test demonstration, in I. King, J.10.1007/11893295_75
Wang, L-W. Chan and D. Wang (Eds.) Neural InformationProcessing, Lecture Notes in Computer Science, Vol. 4234, Springer-Verlag, Berlin/Heidelberg, pp. 684-691.
Spaulding, C.M., Mansur, H.M., Tischler, M.B., Hess, R.A. and Franklin, J.A. (2005). Nonlinear inversion control for a ducted fan UAV, Proceedings of the AIAA AtmosphericFlight Mechanics Conference and Exhibit, San Francisco,CA, USA, pp. 1-26.
Steinberg,M.L. (2001). Comparison of intelligent, adaptive, and nonlinear flight control laws, Journal of Guidance, Controland Dynamics 24(4): 693-699.10.2514/2.4796
Thompson, K.E. (1998). F-16 uninhabited air combat vehicles, Technical report, Air Command and Staff College, Air University, Maxwell Air Force Base, AL.
Waishek, J., Dogan, A. and Blake, W. (2009). Derivation of the dynamics equations of receiver aircrft in aerial refueling, Journal of Guidance, Control and Dynamics32(2): 586-598.10.2514/1.35892
Wang, J., Patel, V.V., Cao, C. and Hovakimyan, N. (2008). Novel L1 adaptive control methodology for aerial refueling with guaranteed transient performance, Journal of Guidance,Control and Dynamics 31(1): 182-193.10.2514/1.31199