@inproceedings{conf/icnc/AlmeidaSNY05,
	title = {Application of Genetic Programming for Fine Tuning
                 {PID} Controller Parameters Designed Through
                 {Ziegler-Nichols} Technique},
	address = {Changsha, China},
	author = {Gustavo Maia {de Almeida} and Valceres Vieira Rocha {e
                 Silva} and Erivelton Geraldo Nepomuceno and Ryuichi Yokoyama},
	booktitle = {Advances in Natural Computation, First International
                 Conference, ICNC 2005, Proceedings, Part III},
	editor = {Lipo Wang and Ke Chen and Yew-Soon Ong},
	month = {August 27-29},
	pages = {313--322},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	volume = {3612},
	year = {2005},
	biburl = {http://www.bibsonomy.org/bibtex/2ede5c12a1eedc8b74e10875074e5195d/brazovayeye},
	abstract = {PID optimal parameters selection have been extensively
                 studied, in order to improve some strict performance
                 requirements for complex systems. Ziegler-Nichols
                 methods give estimated values for these parameters
                 based on the system's transient response. Therefore, a
                 fine tuning of these parameters is required to improve
                 the system's behaviour. In this work, genetic
                 programming is used to optimise the three parameters Kp
                 , Ti and Td , after been tuned by Ziegler-Nichols
                 method, to control a high-order process, a large time
                 delay plant and a highly non-minimum phase process. The
                 results were compared to some other tuning methods, and
                 showed to be promising.},
	bibsource = {DBLP,
                 http://dblp.uni-trier.de/db/conf/icnc/icnc2005-3.html#AlmeidaSNY05}, size = {10 pages}, bibdate = {2005-08-01}, isbn = {3-540-28320-X}, doi = {doi:10.1007/11539902_37},
	keywords = {algorithms, genetic programming }
}