References

Ahmed, S.A. and M.G. Petrov, 2015. Trajectory control of mobile robots using type-2 fuzzy-neural PID controller. IFAC. Pap. OnLine, 48: 138-143.
CrossRef  |  Direct Link  |  

Chaudhary, H., A. Parashar, R. Prasad and N. Sukavanam, 2014. Velocity observer based fuzzy PD+ I based hybrid force/position control of an industrial robot. Proceedings of the 2014 International Conference on Recent Advances in Engineering and Computational Sciences (RAECS), March 6-8, 2014, IEEE, Chandigarh, India, pp: 1-6.

Corke, P., 2012. Robotics, Vision and Control: Fundamental Algorithms in MATLAB. Springer, Berlin, Germany, ISBN: 9783642201455, Pages: 570.

Erguzel, T.T., 2013. Fuzzy controller parameter optimization using genetic algorithm for a real time controlled system. Proceedings of the 2013 World Congress on Engineering Vol. 2, July 3-5, 2013, WCE, London, UK., ISBN:978-988-19252-8-2, pp: 3-5.

Khanesar, M.A., E. Kayacan, O. Kaynak and W. Saeys, 2013. Sliding mode type-2 fuzzy control of robotic arm using ellipsoidal membership functions. Proceedings of the 2013 9th International Conference on Asian Control (ASCC), June 23-26, 2013, IEEE, Istanbul, Turkey, ISBN:978-1-4673-5767-8, pp: 1-6.

Kumar, A., M.K. Panda, S. Kundu and V. Kumar, 2012. Designing of an interval type-2 fuzzy logic controller for magnetic levitation system with reduced rule base. Proceedings of the 2012 3rd International Conference on Computing Communication and Networking Technologies (ICCCNT), July 26-28, 2012, IEEE, Coimbatore, India, pp: 1-8.

Londhe, P.S., Y. Singh, M. Santhakumar, B.M. Patre and L.M. Waghmare, 2016. Robust nonlinear PID-like fuzzy logic control of a planar parallel (2PRP-PPR) manipulator. ISA. Trans., 63: 218-232.
CrossRef  |  PubMed  |  Direct Link  |  

Mendel, J., H. Hagras, W.W. Tan, W.W. Melek and H. Ying, 2014. Introduction to Type-2 Fuzzy Logic Control: Theory and Applications. John Wiley & Sons, Hoboken, New Jersey, USA., ISBN:9781118901441, Pages: 376.

Nordin, F.H., F.H. Nagi and A.A.Z. Abidin, 2013. Comparison study of computational parameter values between LRN and NARX in identifying nonlinear systems. Turk. J. Electr. Eng. Comput. Sci., 21: 1151-1165.
CrossRef  |  Direct Link  |  

Sain, D., S.K. Swain and S.K. Mishra, 2016. TID and I-TD controller design for magnetic levitation system using genetic algorithm. Perspect. Sci., 8: 370-373.
CrossRef  |  Direct Link  |  

Shanmugasundram, R., K.M. Zakariah and N. Yadaiah, 2014. Implementation and performance analysis of digital controllers for brushless DC motor drives. IEEE. ASME. Trans. Mechatron., 19: 213-224.
CrossRef  |  Direct Link  |  

Shen, H.Y. and L.C. Chang, 2013. Online multistep-ahead inundation depth forecasts by recurrent NARX networks. Hydrol. Earth Syst. Sci., 17: 935-945.
CrossRef  |  Direct Link  |  

Siradjuddin, I., L. Behera, T.M. McGinnity and S. Coleman, 2014. Image-based visual servoing of a 7-DOF robot manipulator using an adaptive distributed fuzzy PD controller. IEEE. ASME. Trans. Mechatron., 19: 512-523.
CrossRef  |  Direct Link  |  

Soto, R.M., O. Castillo, L.T. Aguilar and A. Rodriguez, 2015. A hybrid optimization method with PSO and GA to automatically design Type-1 and Type-2 fuzzy logic controllers. Intl. J. Mach. Learn. Cybern., 6: 175-196.
CrossRef  |  Direct Link  |  

Toloue, S.F., M.R. Akbarzadeh, A. Akbarzadeh and M. Jalaeian-F, 2015. Position tracking of a 3-PSP parallel robot using dynamic growing interval type-2 fuzzy neural control. Appl. Soft Comput., 37: 1-14.
CrossRef  |  Direct Link  |  

Williams, B., 2014. An introduction to robotics. Mechanics and Controlof Robotic Manipulators. Mechanical Engineering,OhioUniversity, Athens, Ohio.

Zadeh, L.A., 1975. The concept of a linguistic variable and its application to approximate reasoning-I. Inform. Sci., 8: 199-249.
CrossRef  |  Direct Link  |