[1] Kalman, R. E., “A New Approach to Linear Filtering and Prediction Problems,” Transactions, Vol. 82, 1960, pp. 34-45.
[2] Karray, F., Gueaieb, W. and Al-Shahram, S., “The Hierarchical Expert Tuning of PID Controllers using Tools of Soft Computing,” IEEE Transactions on Systems Man, and Cybernetics- Part B, Vol. 32, 2002, pp. 77-90.
[3] Spall, J.C., “Multivariate Stochastic Approximation Using a Simultaneous Perturbation,” IEEE Transactions on Automatic Control, Vol. 45, 1992, p.p. 1839–1853.
[4] Hou, Z., “The Parameter Identification, Adaptive Control and Model Free Learning Adaptive Control for Nonlinear Systems,” China: (Thesis PhD), Northeastern University Shenyang, 1994.
[5] Hou, Z. “Nonparametric Models and Its Adaptive Control Theory,” Science Press, Beijing, 1999.
[6] Hou, Z. and Jin, S.T. “A Novel Data-Driven Control Approach for a Class of Discretetime-Time Nonlinear Systems,” IEEE Transactions on Control Systems Technology, Vol. 19, 2011, pp. 1549-1558.
[7] Al Tamimi, A.,
Murad Abu Kh., Lewis, F., “Discrete-Time Control Algorithms and Adaptive Intelligent Systems Designs,” Texas-Arlington: University of Texas, 20 Werbos, P., "A menu of Designs for Reinforcement Learning Over Time,”
In Neural Networks for Control , 1991, p. 67–95.
[8] Barto, A.G., Sutton, R.S. and Anderson, C.W., “Neuronlike Elements that Can Solve Difficult Learning Control Problem,” IEEE Transactions on Systems Man and Cybernetics, Vols. SMC-13, 1983, pp. 835-846.
[9] Bertsekas, D.P. and Tsitsiklis, J.N., Neuro-Dynamic Programming, Athena Scientific, 1996.
[10]Howard, R., Dynamic Programming and Markov Processes, Cambridge: Technology Press of Massachusetts Institute of Technology, 1960.
[11]Bradtke, S., Ydestie, B. and Barto, A., “Adaptive Linear Quadratic Control using Policy Iteration,” Proceedings of the American Control Conference, 1994.
[12]Hagen, S. and Krose, B., “Linear Quadratic Regulation using Reinforcement Learning.,” in Belgian_Dutch Conference on Mechanical Learning, 1998.
[13]Werbos, P., Approximate Dynamic Programming for Real-time Control and Neural Modeling, New York: Handbook of Intelligent Control: Van Nostrand Reinhold, 1992.
[14]Watkins, C., Learning from Delayed Rewards, (Thesis Ph.D) Cambridge University, 1989.
[15]Prokhorov, D. and Wunsch, D., “Adaptive Critic Designs,” IEEE Transactions on Neural Networks, Vol. 8, 1997, pp. 997-1007.
[16]Landelius, T.,Reinforcement learning and distributed local model synthesis, Sweden: Ph.D. dissertation, Linkoping University, 1997.
[17]Si, J., Barto, A., Powel, W. and Wunsch, D., Handbook of Learning and Approximate Dynamic Programming, New Jersey: Wiley, 2004.
[18]Sidi, M.J., Spacecraft Dynamics and Control, Cambridge: Cambridge University Press, 1997.
[19]Navabi, M., Tavana, M. and Mirzaie, H., “Attitude Control of Spacecraft by State Dependent Riccati Equation and Power Series Expansion of Riccati Methods,” Journal of Space Science & Technology , Vol. 7, No. 4, 2015, pp. 39-49.
[20]Rokn Abadi, S., Mir shams, S. and Nikkhah, A., “Spacecraft Optimal Attitude Control by means of Reaction Wheels,” Journal of Space Science & Technology,(JSST), Vol. 2, No. 15, winter 2010, pp. 40-50.
[21]Kirk, D.E., Optimal Control Theory, New York: Mineola, 2004.
[22]Brewer, J., “Kronecker Products and Matrix Calculus in System Theory,” IEEE Trans. on Circuit and System, Vol. 25, No. 9, 1978, pp. 772 - 781.
[23]Kamen, E.W. and Su, J.K., Introduction to Optimal Estimation, Springer, 1999.
[24]Stengel, R.F., Optimal Control and Estimation, Princeton: Dover Publications, 1986.
[25]Terui, F., “Position and Attitude Control of a Spacecraft by Sliding Mode Control,” Proceeding of American Control Conference, 1998.
[26]Wertz, J., Spacecraft Attitude Determination and Control, Reidel, Dordrecht,Netherlands: Astrophysics and space science library, 1978.
[27]Wie, B., Space Vehicle Dynamics and Control, Reston, VA: AIAA Education Series, 1998.
[28]Pukdeboon, C. and Kumam, P., “Robust Optimal Sliding Mode Control for Spacecraft Position and Attitude Maneuvers,” Aerosp Sci Technol, Vol. 43, 2015, pp. 329–342.
[29]Yang, Y., “Analytic LQR Design for Spacecraft Control System Based on Quaternion Model,” Aerospace Engineering, Vol. 25, No. 3, 2011, pp. 448-453.
[30]Kazantzis, N. and Kravaris, C., “Time-Discretization of Nonlinear Control Systems Via Taylor,” Computers and Chemical Engineering, Vol. 23, 1999, pp. 763-784.
[31]Qinglei, H., Bo, L. and Zhang, Y., “Robust Attitude Control Design for Spacecraft under Assigned Velocity and Control Constraints,” ISA Transactions, Vol. 52, 2013, pp. 480-493.
