@inproceedings{a0f97b6671b6425e82a44476e1126822,
title = "A comparison of the computational efficiency of multi-parametric predictive control using generalised function parameterisations",
abstract = "This paper considers the computational efficiency of using generalised function parameterisations for multi-parametric quadratic programming (mp-QP) solutions to MPC. Earlier work demonstrated the potential of Laguerre parameterisations for improving com- putational efficiency in that the parametric solutions either required fewer regions and/or gave larger volumes. This paper considers the potential of extending this concept to more general function parameterisations. Specifically the aim is to consider to what extent different function parameterisations affect the parametric solution complexity and feasible volumes. Extensive simulation results which suggest there are indeed benefits from using more general parameterisations than Laguerre.",
keywords = "Feasibility, Generalised function parametrisations, Multi-parametric quadratic programming, Predictive control",
author = "B. Khan and Rossiter, {J. A.}",
year = "2012",
doi = "10.3182/20120710-4-SG-2026.00008",
language = "English",
isbn = "9783902823052",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "15 PART 1",
pages = "451--456",
booktitle = "8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012",
edition = "15 PART 1",
note = "8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012 ; Conference date: 10-07-2012 Through 13-07-2012",
}