Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/56482
Title: Learning-enhanced generalized predictive control for systems with periodic disturbances
Authors: Tan, K.K. 
Huang, S.N. 
Lee, T.H. 
Keywords: Generalized predictive control
Iterative learning control
Stability
Issue Date: 2006
Source: Tan, K.K.,Huang, S.N.,Lee, T.H. (2006). Learning-enhanced generalized predictive control for systems with periodic disturbances. Control and Intelligent Systems 34 (1) : 22-28. ScholarBank@NUS Repository.
Abstract: In this paper, a generalized predictive control (GPC) algorithm is developed for linear discrete systems that is capable of effectively addressing the presence of disturbances that are periodic in nature. First, a GPC algorithm is derived based on the assumption of the presence of a periodic disturbance. Next, a feedforward disturbance learning scheme is proposed for estimating the periodic disturbance. Finally, two sufficient conditions are provided to guarantee the convergence of the disturbance learning law.
Source Title: Control and Intelligent Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/56482
ISSN: 14801752
Appears in Collections:Staff Publications

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

Page view(s)

17
checked on Dec 8, 2017

Google ScholarTM

Check


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