[1] A. Gessow, G.C. Myers, Aerodynamics of the Helicopter, Macmillan New York, 1952.
[2] J.J.P. Leishman, New, Principles of Helicopter Aerodynamics, CambridgeUniv, (2000).
[3] M.J. Hirschberg, The American Helicopter, (2000).
[4] P. Castillo, R. Lozano, A.E. Dzul, Modelling and control of mini-flying machines, Physica-Verlag, 2006.
[5] H. Chao, Y. Cao, Y.J.I.J.o.C. Chen, Automation, Systems, Autopilots for small unmanned aerial vehicles: a survey, 8(1) (2010) 36-44.
[6] D.-J. Lee, I. Kaminer, V. Dobrokhodov, K.J.I.J.o.C. Jones, Automation, Systems, Autonomous feature following for visual surveillance using a small unmanned aerial vehicle with gimbaled camera system, 8(5) (2010) 957-966.
[7] D.-i. Han, J.-h. Kim, C.-o. Min, S.-j. Jo, J.-h. Kim, D.-w.J.I.J.o.C. Lee, Automation, Systems, Development of Unmanned Aerial Vehicle (UAV) system with waypoint tracking and vision-based reconnaissance, 8(5) (2010) 1091-1099.
[8] E. Altug, J.P. Ostrowski, C.J. Taylor, Quadrotor control using dual camera visual feedback, in: Robotics and Automation, 2003. Proceedings. ICRA'03. IEEE International Conference on, IEEE, 2003, pp. 4294-4299.
[9] D. Suter, T. Hamel, R. Mahony, Visual servo control using homography estimation for the stabilization of an x4-flyer, in: Decision and Control, 2002, Proceedings of the 41st IEEE Conference on, IEEE, 2002, pp. 2872-2877.
[10] J. Dunfied, M. Tarbouchi, G. Labonte, Neural network based control of a four rotor helicopter, in: Industrial Technology, 2004. IEEE ICIT'04. 2004 IEEE International Conference on, IEEE, 2004, pp. 1543-1548.
[11] M.G. Earl, R. D'Andrea, Real-time attitude estimation techniques applied to a four rotor helicopter, in: Decision and Control, 2004. CDC. 43rd IEEE Conference on, IEEE, 2004, pp. 3956-3961.
[12] D. Lee, H.J. Kim, S.J.I.J.o.c. Sastry, Automation, systems, Feedback linearization vs. adaptive sliding mode control for a quadrotor helicopter, 7(3) (2009) 419-428.
[13] B. Erginer, E.J.I.J.o.C. Altuğ, Automation, Systems, Design and implementation of a hybrid fuzzy logic controller for a quadrotor VTOL vehicle, 10(1) (2012) 61-70.
[14] A. Sharma, A.J.I.J.E.E.C.E. Barve, Controlling of Quad-rotor UAV using pId controller and Fuzzy logic controller, 1(2) (2012) 38-41.
[15] L.-X. Wang, A course in fuzzy systems and control: Desing of Fuzzy Systems from Input-Output Data, in, Prentice-Hall, Upper Saddle River, NJ, 1997.
[16] C.-C.J.I.T.o.s. Lee, man,, cybernetics, Fuzzy logic in control systems: fuzzy logic controller. I, 20(2) (1990) 404-418.
[17] L. Reznik, Fuzzy controllers handbook: how to design them, how they work, Elsevier, 1997.
[18] E.H.-K. Fung, Y.-K. Wong, Y. Ma, C.-W.M. Yuen, W.-K.J.I.J.o.C. Wong, Automation, Systems, Smart hanger dynamic modeling and fuzzy controller design, 9(4) (2011) 691.
[19] A. Hafaifa, F. Laaouad, K.J.I.J.o.C. Laroussi, Automation, Systems, A numerical structural approach to surge detection and isolation in compression systems using fuzzy logic controller, 9(1) (2011) 69-79.
[20] M. Sugeno, I. Hirano, S. Nakamura, S. Kotsu, Development of an intelligent unmanned helicopter, in: Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int, IEEE, 1995, pp. 33-34.
[21] B. Kadmiry, D. Driankov, Fuzzy control of an autonomous helicopter, in: IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th, IEEE, 2001, pp. 2797-2802.
[22] C. Cavalcante, J. Cardoso, J.J. Ramos, O.R. Neves, Design and tuning of a helicopter fuzzy controller, in: Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int, IEEE, 1995, pp. 1549-1554.
[23] N.I. Vitzilaios, N.C.J.J.o.I. Tsourveloudis, R. Systems, An experimental test bed for small unmanned helicopters, 54(5) (2009) 769-794.
[24] R. Garcia, K.P. Valavanis, The implementation of an autonomous helicopter testbed, in: Unmanned Aircraft Systems, Springer, 2008, pp. 423-454.
[25] Y.J.H.R.-W. Wu, Μάρτιοσ, Development and Implementation of a Control System for a quadrotor UAV, (2009).
[26] R.J.U.P.D. Barclay, University of Sheffield, United Kingdom, A Generic Simulator for Quad-Rotor Unmanned Aerial Vehicles, (2005).
[27] M.B. Srikanth, Z.T. Dydek, A.M. Annaswamy, E. Lavretsky, A robust environment for simulation and testing of adaptive control for mini-UAVs, in: American Control Conference, 2009. ACC'09., IEEE, 2009, pp. 5398-5403.
[28] Z.-Y. Zhao, M. Tomizuka, S.J.I.t.o.s. Isaka, man,, cybernetics, Fuzzy gain scheduling of PID controllers, 23(5) (1993) 1392-1398.
[29] J.G.J.t.A. Ziegler, Optimum settings for automatic controllers, 65 (1943) 433-444.
[30] S.J.F.P.C.J.J.o.B.U.o.A. Kaiyuan, Astronautics, Attitude control of quadrotor aircraft via nonlinear PID [J], 9 (2011) 003.
[31] S. Bouabdallah, Design and control of quadrotors with application to autonomous flying, Epfl, 2007.
[32] H. Bolandi, M. Rezaei, R. Mohsenipour, H. Nemati, S.M.J.I.C. Smailzadeh, Automation, Attitude control of a quadrotor with optimized PID controller, 4(03) (2013) 335.
[33] A.L. Salih, M. Moghavvemi, H.A. Mohamed, K.S.J.S.r. Gaeid, essays, Flight PID controller design for a UAV quadrotor, 5(23) (2010) 3660-3667.
[34] G. Endo, J. Morimoto, T. Matsubara, J. Nakanishi, G.J.T.I.J.o.R.R. Cheng, Learning CPG-based biped locomotion with a policy gradient method: Application to a humanoid robot, 27(2) (2008) 213-228.
[35] T. Matsubara, J. Morimoto, J. Nakanishi, M.-a. Sato, K.J.R. Doya, A. Systems, Learning CPG-based biped locomotion with a policy gradient method, 54(11) (2006) 911-920.
[36] Y. Nakamura, T. Mori, M.-a. Sato, S.J.N.N. Ishii, Reinforcement learning for a biped robot based on a CPG-actor-critic method, 20(6) (2007) 723-735.
[37] S. Bhatnagar, R.S. Sutton, M. Ghavamzadeh, M.J.A. Lee, Natural actor–critic algorithms, 45(11) (2009) 2471-2482.
[38] S. Bhatnagar, M. Ghavamzadeh, M. Lee, R.S. Sutton, Incremental natural actor-critic algorithms, in: Advances in neural information processing systems, 2008, pp. 105-112.
[39] F.S. Melo, M. Lopes, Fitted natural actor-critic: A new algorithm for continuous state-action MDPs, in: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Springer, 2008, pp. 66-81.
[40] T. Degris, P.M. Pilarski, R.S. Sutton, Model-free reinforcement learning with continuous action in practice, in: American Control Conference (ACC), 2012, IEEE, 2012, pp. 2177-2182.
[41] M.-S. Leu, M.-F.J.A.S.C. Yeh, Grey particle swarm optimization, 12(9) (2012) 2985-2996.
[42] Y. Liu, Z. Qin, X. He, Supervisor-student model in particle swarm optimization, in: Evolutionary Computation, 2004. CEC2004. Congress on, IEEE, 2004, pp. 542-547.
)