@inproceedings{61b33ca475864f508b29d04d9b14bb9a,
title = "Adaptive unified predictive control applied to first-order-plus-dead-time processes to eliminate unknown class of deterministic disturbance",
abstract = "A novel Adaptive Unified Predictive Control method (Adaptive-UPC) is proposed and applied to the first-order-plus-dead-time (FOPDT) process models with model uncertainties under unknown deterministic disturbances. Based on Indirect Self-tuning Regulator, this new control structure is constructed by combining UPC controller, Recursive Least-Squares Estimation with forgetting factor (RLS with forgetting factor) and Variable Regression Estimation (VRE). The simulation results show that the method can be effectively applied to first-order-plus-dead-time (FOPDT) process models with uncertain process parameters (gain, time constant and dead-time) and unknown deterministic disturbance.",
keywords = "First order plus dead time process, Model uncertainty, RLS with forgetting factor, Unified predictive control, Unknown disturbance, VRE",
author = "Lin, {Shu Kai} and An-Chen Lee",
year = "2011",
month = aug,
day = "11",
doi = "10.1109/CICA.2011.5945741",
language = "English",
isbn = "9781424499038",
series = "IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CICA 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation",
pages = "149--156",
booktitle = "IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CICA 2011 - 2011 IEEE Symposium on Computational Intelligence in Control and Automation",
note = "null ; Conference date: 11-04-2011 Through 15-04-2011",
}