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S. A. Mazhari and S. Kumar, “PUMA 560 Optimal Trajectory Control using Genetic Algorithm, Simulated Annealing and Generalized Pattern Search Techniques,” International Journal of Electrical, Computer and Systems Engineering, Vol. 2, No. 1, 2008, pp. 71-80.

has been cited by the following article:

• TITLE: A Novel Stochastic Algorithm Using Pythagorean Means for Minimization

  AUTHORS: Mona Subramaniam, Manju Senthil, Madhav Nigam

  KEYWORDS: Stochastic Algorithm, Pythagorean Means, Gain Tuning, Fuzzy Controller, Genetic Algorithm, PUMA560 Trajectory Control, Robotics

  JOURNAL NAME: Intelligent Control and Automation, Vol.1 No.2, November 26, 2010

  ABSTRACT: In this paper, A Novel Stochastic Algorithm using Pythagorean means for minimization of the objective function is described. The algorithm is initially tested with Rastrigin’s function and compared with Genetic algorithm results for the function with the same initial conditions. After this, it is used in tuning the gains of fuzzy PD + I controller for trajectory control of PUMA 560 robot manipulator. The results are again verified with the results of genetic algorithm.