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The Scientific World Journal
Volume 2014 (2014), Article ID 303101, 8 pages
Research Article

Pareto Design of State Feedback Tracking Control of a Biped Robot via Multiobjective PSO in Comparison with Sigma Method and Genetic Algorithms: Modified NSGAII and MATLAB’s Toolbox

1Department of Mechanical Engineering, Sirjan University of Technology, Sirjan, Iran
2Department of Mechanical Engineering, University of Texas at San Antonio, San Antonio, TX 78249, USA
3Department of Mechanical Engineering, Faculty of Engineering, The University of Guilan, Rasht, Iran

Received 20 August 2013; Accepted 3 November 2013; Published 27 January 2014

Academic Editors: L. D. S. Coelho, K. Dincer, and M. H. Ghayesh

Copyright © 2014 M. J. Mahmoodabadi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • M. Taherkhorsandi, M. J. Mahmoodabadi, M. Talebipour, and K. K. Castillo-Villar, “Pareto design of an adaptive robust hybrid of PID and sliding control for a biped robot via genetic algorithm optimization,” Nonlinear Dynamics, 2014. View at Publisher · View at Google Scholar
  • J. L. Guardado, F. Rivas-Davalos, J. Torres, S. Maximov, and E. Melgoza, “An Encoding Technique for Multiobjective Evolutionary Algorithms Applied to Power Distribution System Reconfiguration,” The Scientific World Journal, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Raviraj Nataraj, and Antonie J. Van Den Bogert, “Simulation Analysis of Linear Quadratic Regulator Control of Sagittal-Plane Human Walking - Implications for Exoskeletons,” Journal of Biomechanical Engineering, vol. 139, no. 10, 2017. View at Publisher · View at Google Scholar