@inproceedings{b1010b882abc4b91a8e223b260f1df8a,
title = "Dynamic optimization genetic algorithms for flight control laws design",
abstract = "The general flight control laws are designed by static designs and dynamic fits. To improve the adaptive capability, the method of control laws design was introduced by using dynamic optimization genetic algorithms. The control parameters were adjusted online in the flight envelope. The dynamic optimization model was built for aircraft longitudinal function. The fitness was set up by applying order track. And then the control parameters were regulated by dynamic optimization genetic algorithms. Finally an example of a longitudinal control augmented stability system of an aircraft is used with a simulation.",
keywords = "Control augmented stability, Dynamic optimization, Flight control laws, Genetic algorithms",
author = "Xiaoxiong Liu and Yan Wu and Li, \{Peng Hui\} and Heng Xu",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.278-280.1581",
language = "英语",
isbn = "9783037855959",
series = "Applied Mechanics and Materials",
pages = "1581--1584",
booktitle = "Advances in Mechatronics and Control Engineering",
note = "2012 International Conference on Mechatronics and Control Engineering, ICMCE 2012 ; Conference date: 29-11-2012 Through 30-11-2012",
}