Optimal robust sliding mode tracking control of a biped robot based on ingenious multi-objective PSO

@article{Mahmoodabadi2014OptimalRS,
  title={Optimal robust sliding mode tracking control of a biped robot based on ingenious multi-objective PSO},
  author={Mohammad Javad Mahmoodabadi and Milad Taherkhorsandi and Ahmad Bagheri},
  journal={Neurocomputing},
  year={2014},
  volume={124},
  pages={194-209}
}
The aim of this paper is to present novel Multi-objective Particle Swarm Optimization (MOPSO) called Ingenious-MOPSO and compare its capability with three well-known multi-objective optimization algorithms, modified NSGAII, Sigma method, and MOGA. The application of this investigation is on an intellectual challenge in robotics, that is, a biped robot walking in the lateral plane on slope. Recently, a number of researches have been done on the walking of biped robots in the sagittal plane… CONTINUE READING