[1]
Heng-Ling Yang, Yan-Yu Hu: The Water Temperature Fuzzy Control System Based on Singlechip, Technological Innovation Guide. Vol. 32 (2009), pp.43-44.
Google Scholar
[2]
Zi-Juan Yang, Yuan-Rui Chen, Jian-Ming Hu: The research on application of variable universe fuzzy control to maximum power point tracking system, Power Electronics Systems and Applications 2009. 3rd International Conference on 20-22 May (2009).
Google Scholar
[3]
Fei Teng, Hongxing Li: Adaptive fuzzy control for the electric furnace. Intelligent Computing and Intelligent Systems, 2009. IEEE International Conference on Volume 2, 20-22 Nov (2009), pp.439-443.
DOI: 10.1109/icicisys.2009.5358363
Google Scholar
[4]
Farhi, O., Chervenkov, Y. : Optimal fuzzy control of autonomous ro bot car, Intelligent Systems, 2008. IS '08. 4th International IEEE Conference Volume 1, 6-8 Sept (2008). pp.4-65.
DOI: 10.1109/is.2008.4670427
Google Scholar
[5]
Wang Li, Liu Yushu, Deng Hongbin, Xu Yuanqing: Obstacle-avoidance path planning for soccer robots using particle swarm optimization, 2006 IEEE International Conference on Robotics and Biomimetics (2006), pp.1233-1238.
DOI: 10.1109/robio.2006.340104
Google Scholar
[6]
Xu Xinying, Yan Gaowei, Xie Kerning, Lin T.Y. : Immune evolution algorithm based dynamic path planning approach for the soccer robot, Proceedings - 2007 IEEE International Conference on Granular Computing (2007), pp.477-480.
DOI: 10.1109/grc.2007.147
Google Scholar
[7]
Liu Zaixin, Wang Jinge. : Soccer robot path planning based on Arc-cotangent optimization algorithm. 2008 IEEE International Conference on Robotics, Automation and Mechatronics (2008), pp.1062-1065.
DOI: 10.1109/ramech.2008.4681342
Google Scholar
[8]
Yang Linquan, Luo Zhongwen, Tang, Zhonghua, Lv Weixian: Path planning algorithm for mobile robot obstacle avoidance adopting Bezier curve based on genetic algorithm. Chinese Control and Decision Conference (2008), pp.3286-3289.
DOI: 10.1109/ccdc.2008.4597937
Google Scholar
[9]
Xinying Xu, Jun Xie, Keming Xie: Path planning and obstacle-avoidance for soccer robot based on artificial potential field and genetic algorithm. Proceedings of the World Congress on Intelligent Control and Automation, v 1 (2006), pp.3494-3498.
DOI: 10.1109/wcica.2006.1713018
Google Scholar
[10]
Qingbao Zhu, Wei Ma: A robot path planning algorithm based on scout ants in collaboration with foraging ants, Control and Decision, 24(4) , 2009, p: 601-605.
Google Scholar
[11]
YIN Lu, YIN Yi-xin: Simulation Research on Path Planning Based on Dynamic Artificial Potential Field, Journal of System Simulation, 21(11), 2009, pp.3325-3341.
Google Scholar
[12]
YUAN Ming-xin, WANG Sun-an, LI Kun-peng, CHEN Nai-jian: Ant Colony and Immune Network Algorithm Based on Optimization of Potential Field Method for Path Planning, Journal of System Simulation, 21(15), 2009, pp.4686-4690.
Google Scholar