Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/74467
Title: Adaptive controller design using just-in-time learning algorithm
Authors: Cheng, C.
Hashimoto, Y.
Chiu, M.-S. 
Issue Date: 2004
Source: Cheng, C.,Hashimoto, Y.,Chiu, M.-S. (2004). Adaptive controller design using just-in-time learning algorithm. Proceedings of the IEEE International Conference on Control Applications 2 : 1106-1111. ScholarBank@NUS Repository.
Abstract: In this paper, an adaptive FID controller design based on just-in-time learning (JITL) algorithm is developed. Inspired by the learning strategy of neural network, a gradient descent algorithm is used to tune the controller parameters on-line based on the information provided by JITL. In addition, a predictive feedforward control scheme is devised to enhance the disturbance rejection capability of the proposed design. The proposed method is illustrated and evaluated by a case study of a polymerization reactor. © 2004 IEEE.
Source Title: Proceedings of the IEEE International Conference on Control Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/74467
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

38
checked on Dec 16, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.