@inproceedings{d39429952f0847898c0d0366fb9e0669,
title = "Inverse-model predictive control based on INFUMO-BB-BC optimization",
abstract = "This paper presents a method of advanced predictive control combining a contemporary optimization procedure Big Bang - Big Crunch (BB-BC) and the use of an interval fuzzy model (INFUMO). The method is founded on the inverse-fuzzy-model-based controller where adaptation of the model to the process is done in each calculation step. The INFUMO was used to identify a band of possible process parameter values and hence to limit the optimization search space, which resulted in a considerable reduction of computational load. The benefits of the method were illustrated on a simulation model with high-grade uncertainties and rapid changes of parameters.",
keywords = "Genetic algorithms, Model-based control, Nonlinear control systems, Uncertain dynamic systems",
author = "Simon Oblak and Tufan Kumbasar and Igor {\v S}krjanc and Engin Ye{\c s}il",
year = "2010",
doi = "10.3182/20100826-3-tr-4015.00055",
language = "English",
isbn = "9783902661852",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "PART 1",
pages = "294--299",
booktitle = "IFAC International Workshop on the Adaptation and Learning in Control and Signal Processing, ALCOSP 2010 - Proceedings",
edition = "PART 1",
note = "10th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2010 ; Conference date: 26-08-2010 Through 28-08-2010",
}