A Novel Stochastic Algorithm Using Pythagorean Means for Minimization - Intelligent Control and Automation

ICA > Vol.1 No.2, November 2010

Intelligent Control and Automation

Volume 1, Issue 2 (November 2010)

ISSN Print: 2153-0653 ISSN Online: 2153-0661

Google-based Impact Factor: 0.70 Citations

A Novel Stochastic Algorithm Using Pythagorean Means for Minimization ()

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DOI: 10.4236/ica.2010.12009 5,262 Downloads 7,695 Views Citations

Author(s)

Mona Subramaniam^1*, Manju Senthil^2*, Madhav Nigam^2*

Affiliation(s)

¹Department of Electronics and Computer Engineering.
²Indian Institute of Technology Roorkee.

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.

KEYWORDS

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

Share and Cite:

M. Subramaniam, M. Senthil and M. Nigam, "A Novel Stochastic Algorithm Using Pythagorean Means for Minimization," Intelligent Control and Automation, Vol. 1 No. 2, 2010, pp. 82-89. doi: 10.4236/ica.2010.12009.

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