By Topic

A self-adjusting grey fuzzy prediction controller design based on residual error model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Liu RongCheng ; Dept. of Autom. Control, Zhejiang Sci-Tech Univ., Hangzhou ; Dai Wenzhan

In this paper, based on residual error model, a novel grey fuzzy prediction control which combines traditional fuzzy control (TFC) with grey prediction control (GPC) is put forward. Depending on the precision of residual error model, the controller can self-adjust the combinational weights of TFC and GPC model and prediction length so as to reach better adaptability and the dynamic characteristics. The result of the simulation shows that the controller has better dynamic characteristics and restrains interference more effectively than which of the traditional fuzzy control and the grey prediction control.

Published in:

Control Conference, 2008. CCC 2008. 27th Chinese

Date of Conference:

16-18 July 2008