Please use this identifier to cite or link to this item:
|Title:||Self-tuning PID controllers based on the Lyapunov approach|
|Citation:||Kansha, Y., Jia, L., Chiu, M.-S. (2008-05). Self-tuning PID controllers based on the Lyapunov approach. Chemical Engineering Science 63 (10) : 2732-2740. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ces.2008.02.026|
|Abstract:||In this paper, a self-tuning PID controller using just-in-time learning (JITL) technique is proposed. A set of linear models obtained by the JITL provides the information required to adjust the parameters of PID controller. The self-tuning algorithm for the PID parameters is derived by a rigorous analysis based on the Lyapunov method such that the JITL's predicted tracking error converges asymptotically. Simulation results are presented to illustrate the proposed self-tuning PID controller and a comparison with its conventional counterparts is made. © 2008 Elsevier Ltd. All rights reserved.|
|Source Title:||Chemical Engineering Science|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 11, 2018
WEB OF SCIENCETM
checked on Oct 2, 2018
checked on Sep 22, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.