References
- Mittal RK, Nagrath IJ. Robotics and control. 1st ed. New Delhi: Tata McGraw-Hill; 2003.
- Huang G-S, Tung C-K, Lin H-C, et al. Inverse kinematics analysis trajectory planning for a robot arm. 8th Asian Control Conference (ASCC); Kaohsiung, Taiwan; May 2011; p. 965–970.
- Ravari ARN, Taghirad HD. A novel hybrid fuzzy-pid controller for tracking control of robot manipulators. 2008 IEEE International Conference on Robotics and Biomimetics, 2009 Feb 22–25; p. 1625–1630.10.1109/ROBIO.2009.4913244
- Chatterjee A, Watanabe K. An adaptive fuzzy strategy for motion control of robot manipulators. Springer J. Soft Computing; 2005. p. 185–193.10.1007/s00500-003-0343-6
- Green A, Sasiadek JZ. Dynamics and trajectory tracking control of a two-link robot manipulator. J Vib Control. 2004;10(10):1415–1440.
- Daachi B, Benallegue A. A neural network adaptive controller for end-effector tracking of redundant robot manipulators. J Int Robot Syst. 2006;46:245–262.
- Fu J, Sinha NK. An iterative learning scheme for motion control of robots using neural networks: a case study. J Int Robot Syst. 1993;8:375–398.
- Nguyen HT, Prasad NR, Walker CL, et al. A first course in fuzzy and neural control. New York (NY): CRC Press; 2002.10.1201/9781420035520
- Zaki AM, Mahgoub OA, El-Shafei AM, et al. Control of efficient intelligent robotic gripper using fuzzy inference system. Fuzzy inference system – theory and applications, InTech; 2012. p. 85–112.
- Che Soh A, Ahmad SA, Ishak AJ, et al. Development of an adjustable gripper for robotic picking and placing operation. Int J Smart Sensing Intell Syst. 2012;5(4):1019–1043.
- Yen J, Langari R. Fuzzy logic: intelligence, control, and information. Upper Saddle River (NJ): Prentice Hall; 1999.
- Chidambaram M. Computer control of processes. New Delhi: Narosa Publishing House; 2002.
- Goldberg DE. Genetic algorithms in search optimization, and machine learning. New York (NY): Addison-Wesley; 1998.
- Roy S, Chakraborty U. Introduction to soft computing: neuro-fuzzy and genetic algorithms. Noida: Pearson Education; 2013.
- Gouasmi M, Ouali M, Fernini B, et al. Kinematic modelling and simulation of a 2-R robot using solidworks and verification by MATLAB/Simulink. Int J Adv Rob Syst. 2012;9:1–13.10.5772/1
- Sarkar PK. Process dynamics and control. New Delhi: PHI Learning Private Limited; 2014.
- Chen S, Billings SA, Grant PM. Non-linear system identification using neural networks. Int J Control. 1990;51(6):1–2.
- Narendra KS, Mukhopadhyay S. Adaptive control using neural networks and approximate models. IEEE Trans Neural Networks. 1997;8(3):475–485.
- Klir GJ, Folger TA. Fuzzy sets, uncertainity and information. New Delhi: Prentice-Hall of India Private Limited; 2003.
- Mendel JM, Hagras H, Tan WW, et al. Introduction to type -2 fuzzy logic controller. IEEE Press, Wiley; 2014.
- Shayestegan M. Fuzzy logic controller for robot navigation in an unknown environment. 2013 IEEE International Conference on Control System, Computing and Engineering (ICCSCE); 2013 Nov 29–Dec 1; p. 69–73.10.1109/ICCSCE.2013.6719934