Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2009.639.650FarivarF.Aliyari ShoorehdeliM.TeshnehlabM.NekouiM.A.4200994This study describes hybrid control methods to control
a flexible manipulator with payload. The dynamic equation of the system
has been derived by Lagrange`s method. The designed controllers consist
of two parts, classical controllers, PID and Linear Quadratic Regulation
(LQR) and hybrid controllers, Fuzzy Neural Network (FNN) controller with
Feedback Error Learning (FEL) and Sliding mode control using Gaussian
Radial Basis Function Neural Network (RBFNN). The fuzzy neural network
and radial basis function neural network are trained during control process
and they are not necessarily trained off-line.]]>Tian, L. and C. Collins, 2005Korayem, M.H. and A. Basu, 1994Nakanishi, J. and S. Schaal, 2004Talebi, H.A., K. Khorasani and R.V. Patel, 1998Miyamura, A. and H. Kimura,2002Cheng, W. and J.T. Wen,1993Torfs, D.E., R. Vuerinckx, J. Swevers and J. Schoukens,1998Donne, J.D. and U. Ozguner,1994Newton, R.T. and Y. Xu,1993Newton, R.T. and Y. Xu,1993Lee, C.H. and C.C. Teng, 2000Zhou, Y. et al., 2002Topalov, A.V. et al.,1998Slotine, J.J.E. and W. Li,1991Onder Efe, M., O. Kaynak, X. Yu and B.M. Wilamowski, 2001