@inproceedings{aac75102697647fa9010bea1541fe26a,
title = "Generalised parameterisation for MPC",
abstract = "The paper generalises approaches to predictive control based on Laguerre and Kautz functions. It is shown that La- guerre and Kautz are special cases of generalised orthonor- mal basis functions and thus one can give a more gen- eral parameterisation using higher order orthonormal ba- sis functions. Specifically, a simple but efficient algorithm that uses generalised functions to parameterise the degrees of freedom in an optimal predictive control is presented. The efficacy of the proposed parameterisation within exist- ing predictive control algorithms that use a similar strategy, is demonstrated by examples.",
keywords = "Feasibility, Generalised parameterisation, MPC",
author = "Bilal Khan and Anthony Rossiter",
year = "2011",
doi = "10.2316/P.2011.744-059",
language = "English",
isbn = "9780889868892",
series = "Proceedings of the IASTED International Conference on Intelligent Systems and Control",
pages = "120--126",
booktitle = "Proceedings of the 13th IASTED International Conference on Intelligent Systems and Control, ISC 2011",
note = "13th IASTED International Conference on Intelligent Systems and Control, ISC 2011 ; Conference date: 11-07-2011 Through 13-07-2011",
}