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K. Turki &Olfa Boubaker TThis paper deals with a robust control strategy of a non-linear bioprocess. The main objective is to maintain the regulation of output variables in spite of disturbances and variation of operating points. A systematic approach is first proposed to approximate the non-linear model by a set of disturbed linear models. Robust ∞ H controllers are then scheduled on every linear model under a quadratic stability constraint. The performances of the proposed approach are finally illustrated by means of simulation results using Linear Matrix Inequality (LMI) concepts and convex programming tools.
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BibTex:
@ARTICLE{P1120548002, AUTHOR = {K. Turki and O. Boubaker}, TITLE = {
JOURNAL = {The International Journal of Artificial Intelligence and Machine Learning},
YEAR = {2005}, VOLUME = {5}, ISSUE ={III}, PAGE= {79--85} } ( |
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