@article {375,
	title = {The study on pendubot control linear quadratic regulator and particle swarm optimization},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {16 - 24},
	abstract = {In this paper, a new algorithm to optimize the state feedback linearization matrix of two-link PenduBot control system. Mature method of comparison, the best of the simulation results of the particle swarm optimization algorithm can make the object more stable. Obviously, the particle swarm algorithm is introduced to the angular displacement and speed of smaller each link, less overshoot and a relatively short period of time to adjust. The algorithm through the control control ability proves two-link PenduBot. However, it needs modification parameter and run the program several times, so the need of further research for further improvement.},
	keywords = {LQR, Pendubot, PSO, State-feedback},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879114013\&partnerID=40\&md5=b4f25efc7f371dde9d9d28828f6856e7},
	author = {Jianfeng, X. and Huzhen, S.}
}
