@article{(Open Science Index):https://publications.waset.org/pdf/5698,
	  title     = {Fuzzy Controller Design for Ball and Beam System with an Improved Ant Colony Optimization},
	  author    = {Yeong-Hwa Chang and  Chia-Wen Chang and  Hung-Wei Lin and  C.W. Tao},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, an improved ant colony optimization
(ACO) algorithm is proposed to enhance the performance of global
optimum search. The strategy of the proposed algorithm has the
capability of fuzzy pheromone updating, adaptive parameter tuning,
and mechanism resetting. The proposed method is utilized to tune the
parameters of the fuzzy controller for a real beam and ball system.
Simulation and experimental results indicate that better performance
can be achieved compared to the conventional ACO algorithms in the
aspect of convergence speed and accuracy.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {3},
	  number    = {8},
	  year      = {2009},
	  pages     = {1578 - 1583},
	  ee        = {https://publications.waset.org/pdf/5698},
	  url   	= {https://publications.waset.org/vol/32},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 32, 2009},