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Journal of Applied Mathematics
Volume 2012, Article ID 639014, 22 pages
http://dx.doi.org/10.1155/2012/639014
Research Article

Pareto Design of Decoupled Sliding-Mode Controllers for Nonlinear Systems Based on a Multiobjective Genetic Algorithm

1Department of Mechanical Engineering, Faculty of Engineering, University of Guilan, P.O. Box 3756, Rasht, Iran
2Intelligent-Based Experimental Mechanics Center of Excellence, School of Mechanical Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran
3Department of Mechanical Engineering, Takestan Branch, Islamic Azad University, Takestan, Iran

Received 11 January 2012; Revised 4 April 2012; Accepted 8 April 2012

Academic Editor: Zhiwei Gao

Copyright © 2012 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 [7 citations]

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

  • Yang Yu, and Zengqiang Mi, “Dynamic Modeling and Control of Electromechanical Coupling for Mechanical Elastic Energy Storage System,” Journal of Applied Mathematics, vol. 2013, pp. 1–11, 2013. View at Publisher · View at Google Scholar
  • Atefeh Marvi Moghadam, and Saeed Balochian, “Design of combined sliding mode controller back stepping using genetic algorithm,” Journal of Engineering (United States), vol. 2013, 2013. View at Publisher · View at Google Scholar
  • Jie You, Jiangang Lu, Yucai Zhu, Qinmin Yang, Jianhua Zhu, Jiangyin Huang, and Youxian Sun, “Identification of Multimodel LPV Models with Asymmetric Gaussian Weighting Function,” Journal of Applied Mathematics, 2013. View at Publisher · View at Google Scholar
  • M.J. Mahmoodabadi, S. Momennejad, and A. Bagheri, “Online optimal decoupled sliding mode control based on moving least squares and particle swarm optimization,” Information Sciences, 2014. View at Publisher · View at Google Scholar
  • Taherkhorsandi, Castillo-villar, Mahmoodabadi, Janaghaei, and Mortazavi Yazdi, “Optimal sliding and decoupled sliding mode tracking control by multi-objective particle swarm optimization and genetic algorithms,” Studies in Computational Intelligence, vol. 576, pp. 43–78, 2015. View at Publisher · View at Google Scholar
  • Chuang Liu, and Yingkui Du, “A membrane algorithm based on chemical reaction optimization for many-objective optimization problems,” Knowledge-Based Systems, 2018. View at Publisher · View at Google Scholar
  • Mohammad Javad Mahmoodabadi, and Mohammad Mehdi Shahangian, “A New Multi-objective Artificial Bee Colony Algorithm for Optimal Adaptive Robust Controller Design,” IETE Journal of Research, pp. 1–14, 2019. View at Publisher · View at Google Scholar