@inproceedings{19771b70f8064809bc16fa75c88ae9ae,
title = "Tracking control of uncertain DC server motors using genetic fuzzy system",
abstract = "A controller of uncertain DC server motor is presented by using the fuzzy system with a real-time genetic algorithm. The parameters of the fuzzy system are online adjusted by the real-time genetic algorithm in order to generate appropriate control input. For the purpose of on-line evaluating the stability of the closed-loop system, an energy fitness function derived from backstepping technique is involved in the genetic algorithm. According to the experimental results, the genetic fuzzy control scheme performs on-line tracking successfully.",
keywords = "DC server motor, control systems, genetic algorithm",
author = "Hsieh, {Wei Min} and Leu, {Yih Guang} and Yang, {Hao Cheng} and Lin, {Jian You}",
year = "2010",
doi = "10.1007/978-3-642-13495-1_74",
language = "English",
isbn = "3642134947",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "605--611",
booktitle = "Advances in Swarm Intelligence - First International Conference, ICSI 2010, Proceedings",
edition = "PART 1",
note = "1st International Conference on Advances in Swarm Intelligence, ICSI 2010 ; Conference date: 12-06-2010 Through 15-06-2010",
}