[1] Yue S., Henrich D., Xu W.L., Tso S.K., Point-to-point trajectory planning of flexible redundant robot manipulators using genetic algorithms, Robotica, Vol. 20, No. 3, pp. 269-280, 2002.
[2] Karami N., Habibnejad Korayem M., Shafei A. M., RafeeNekoo S., Theoritical and experimental investigation of dynamic load carrying capacity of flexible-link manipulator in pointto-point motion, Modares Mechanical Engineering, Vol. 14, No. 15, pp. 199-206, 2015.
[3] Homaei H., Keshmiri M., Optimal Trajectory Planning for Minimization Vibration of Flexible Redundant Cooperative Manipulators, Advanced Robotic, Vol. 23, No. 12-13, pp. 1799-1816, 2009.
[4] Zarafshan P., Mousavian A. A., Adaptive hybrid suprpression control of a wheeled mobile robot with flexible solar panels, Modares Mechanical Engineering, Vol. 13, No. 5, pp. 130-143, 2013.
[5] Habibnejad Korayem M., Shafei A. M., Doosthoseini M., Kadkhodaei B., Dynamic modeling of visco-elestic robotic manipulators using Timoshenko beam theory, Modares Mechanical Engineering, Vol. 14, No. 1, pp. 131-139, 2014.
[6] De Luca A., Siciliano B., Inversion-Based nonlinear control of Robot Arms with Flexible links,Journal of Guidance, control and Dynamics, Vol. 16, No. 6, pp. 1169-1176, 1993.
[7] Caracciolo R., Richiedei D., Trevisani A., Zanotto V., Robust mixed-norm position and vibration control of flexible link mechanisms, Mechatronics, Vol. 15, No. 7, pp. 767-791, 2005.
[8] Zhang N., Feng Y., Yu X., Optimization of terminal sliding control for two-link flexible manipulators, The 30th IEEE Annual Conference of Industrial Electronics Society, Vol. 2, pp. 1318-1322, 2004.
[9] Alam M. S., Tokhi M. O., Hybrid fuzzy logic control with genetic optimization for a single-link flexible manipulator, Engineering Application of Artificial Intelligence, Vol. 21, No. 6, pp. 858-873, 2008.
[10] Matia F., Marichal G.N., Jimenez E., Fuzzy Modeling and Control: Theory and Applications, Springer, 2014.
[12] Rezvani M., Rohani S. M., Adaptive-neuro-fuzzy for uncertain robotic arm no need to auxilary compensator controller, Third Iranian Conference on Electrical and Electronic Engineering (ICEEE), 2011.
[13] Tian L., Collins C., Adaptive neuro-fuzzy control of a flexible manipulator, Mechatronics, Vol. 15, No. 10, pp. 1305-1320, 2005.
[14] Meza J. L., Santibanez V., Soto R., Llama M.A, Fuzzy self-tuning PID semiglobalregulatorfor robot manipulators, IEEE Transaction Indian Electron, Vol. 59, No. 6, pp. 2709-2717, 2012.
[15] Mirshekaran M., Piltan F., Esmaeili Z., Khajeaian T., Kazeminasab M., Design Sliding Mode Modified Fuzzy Linear Controller with Application to Flexible Robot Manipulator, International Journal of Modern Education and Computer Science, Vol. 5, No. 10, pp. 53-63, 2013.
[16] Mallikarjunaiah S., Narayana Reddy S., Adaptive Neuro-Fuzzy Interface System Controller for Flexible Link Manipulator, ACTA Electrotechnica, Vol. 54, No. 2, 2013.
[17] Abdullahi A.M., Mohamed Z., Muhammad M., Bature A. A., Vibration Control Comparison Of A Single Link Flexible Manipulator Between Fuzzy Logic Control And Pole Placement Control, International Journal of Scentific& Technology Research, Vol. 2, No. 12, 2013.
[18] Sahamijoo G., Avatefipour O., Nasrabad M. R. S., Taghavi M., Piltan F., Research on Minimum Intelligent Unit for Flexible Robot. International Journal of Advanced Science and Technology, Vol. 80, pp. 79-104, 2015.
[19] Rumelhart D. E., McClelland J. L., Parallel distributed processing, Explorations in the microstructure of cognition, MIT Press, Cambridge, MA.,Vol.II, 1986.
[20] Rao S. S., Vibration of Continuous Systems, Forth Edition, Chapter 11, New Jersey: Wiley & Sons, 2007.
[21] Ross T. J., Fuzzy Logic with Engineering Application, Second Edittion, pp. 101, Wiley & Sons, 2004.
[22] Lightbody G., Wu W. H., Irwin G. W., Control Application for feedforward Networks, Neural Networks for Control, MIT Press, Cambridge, MA., pp. 51-71, 1990.
)