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Original Articles

Numerical solution of second-order robot arm control problem using Runge–Kutta–Butcher algorithm

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Pages 345-356 | Received 01 Feb 2005, Accepted 19 May 2006, Published online: 17 Feb 2007

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Thaer Alsultan, Hussein M. Ali & Qussay Y. Hamid. (2018) A numerical approach for solving problems in robotic arm movement. Production & Manufacturing Research 6:1, pages 385-395.
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Lei Yu, Shumin Fei, Lining Sun & Jun Huang. (2014) An adaptive neural network switching control approach of robotic manipulators for trajectory tracking. International Journal of Computer Mathematics 91:5, pages 983-995.
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V. Murugesh. (2009) Raster cellular neural network simulator for image processing applications with numerical integration algorithms. International Journal of Computer Mathematics 86:7, pages 1215-1221.
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Articles from other publishers (4)

SUKUMAR SENTHILKUMAR, MALREY LEE & GISUNG JEONG. (2013) A MODIFIED IMPROVED RUNGE–KUTTA FIFTH-ORDER FIVE STAGE TECHNIQUE TO STUDY INDUSTRIAL ROBOT ARM. International Journal of Pattern Recognition and Artificial Intelligence 27:06, pages 1359004.
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Sukumar Senthilkumar, Malrey Lee & Tae-Kyu Kwon. (2013) RK- Methods for Robot Application problems. International journal of advanced smart convergence 2:1, pages 18-20.
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S. Nandhakumar, V. Selladurai & R. Dhanasekaran. (2010) Haarwavelet approach to singular system time invariant model robot arm control problem. Haarwavelet approach to singular system time invariant model robot arm control problem.
Christiaan J. Pretorius, Mathys C. du Plessis & Charmain B. Cilliers. (2010) A Neural Network-based kinematic and light-perception simulator for simple robotic evolution. A Neural Network-based kinematic and light-perception simulator for simple robotic evolution.

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