Fuzzy Optimization in the Problem of Forklifts Path Planning

作者: G.N. Rogachev , M.L. Patkin , N.G. Rogachev

DOI: 10.1109/FAREASTCON.2018.8602862

关键词:

摘要: The procedure of fuzzy optimization is considered as the problem forklift path planning in a changing environment for number typical situations differing goals and constraints imposed both on control resources behavior forklifts. Simultaneously with construction trajectories forklift, synthesis algorithms work digital controllers systems hybrid continuous-discrete carried out. constructing based representation form priori non-fixed time-variable rules.

参考文章(7)
Silvio Giove, Christer Carlsson, Róbert Fullér, Optimization under fuzzy rule constraints Sogesci. ,(1998)
G. N. Rogachev, Production Method of Describing Automated Controllers in the Analysis of Continuous-Discrete Control Systems Automatic Control and Computer Sciences. ,vol. 48, pp. 249- 256 ,(2014) , 10.3103/S0146411614050095
M.A. Porta Garcia, Oscar Montiel, Oscar Castillo, Roberto Sepúlveda, Patricia Melin, Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation Applied Soft Computing. ,vol. 9, pp. 1102- 1110 ,(2009) , 10.1016/J.ASOC.2009.02.014
S. Geetha, S. Selvakumar, G. Nirmala, Mobile Robot Localization and Navigation in Artificial Intelligence: Survey Computational Methods in Social Sciences. ,vol. 4, pp. 12- 22 ,(2017)
Riccardo Polvara, Sanjay Sharma, Jian Wan, Andrew Manning, Robert Sutton, Obstacle Avoidance Approaches for Autonomous Navigation of Unmanned Surface Vehicles Journal of Navigation. ,vol. 71, pp. 241- 256 ,(2018) , 10.1017/S0373463317000753