@article{1241,
  author = {Adel Taeib, Ltaeif Ali, Abdelkader Chaari},
  title = {PID Control based on Modified Particle Swarm Optimization for Nonlinear Process},
  journal = {Journal of Information Organization},
  year = {2013},
  volume = {3},
  number = {2},
  doi = {},
  url = {http://www.dline.info/jio/fulltext/v3n2/3.pdf},
  abstract = {In this paper, a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters for Takagi-Sugeno (T-S) fuzzy model using a Modified Particle Swarm Optimization (MPSO) with random inertia weight algorithm is presented. In this scheme, an inertia weight of PSO is randomly adjusted during searching process to overcome the difficulties of the method of selecting inertia weight and to improve the performance of the standard PSO. The performance of the self-tuning PID controller based on MPSO has been tested on academic nonlinear system.},
}