NDLI: An LMI approach for output feedback Robust Predictive Control using Orthonormal Basis Functions

Content Provider	IEEE Xplore Digital Library
Author	Araujo, H.X. Oliveira, G.
Copyright Year	2009
Description	Author affiliation: Industrial and Systems Engineering Graduate Program (PPGEPS), Pontifícia Universidade Católica do Paraná (PUCPR), Rua Imaculada Conceição, 1155, Zip Code 80215-901, Curitiba-PR, Brazil (Oliveira, G.) \|\| Department of Electrical Engineering, Federal University of Bahia (UFBA), Rua Aristides Novis 02, Zip Code 40210-630, Salvador, Brazil (Araujo, H.X.)
Abstract	This paper is focused on the problem of uncertain process control by using RMPC (Robust Model Predictive Control). A relevant class of RMPC algorithms is the one characterized by the use of the LMI framework. This field started in the middle of nineties and since then several works applying LMIs in the context of RMPC have been proposed. Most of them assume a polytopic representation of the process uncertainties and require full-state feedback. On the other hand, several works describing the theory and applicability of OBF (Orthonormal Basis Functions) in identification and control fields can be found in the literature. So, the present paper proposes the use of OBF for uncertain process modelling and for RMPC algorithm synthesis. It is shown that, due to the proposed approach, one obtains an output feedback control law, with set-point tracking. This represents an advantage in actual applications. Moreover, well established state feedback RMPC strategies can be reviewed under the OBF modelling perspective. Simulation results illustrate the proposed methodology.
Starting Page	3987
Ending Page	3992
File Size	320877
Page Count	6
File Format	PDF
ISBN	9781424438716
ISSN	01912216
DOI	10.1109/CDC.2009.5400698
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Output feedback Robust control Predictive control Predictive models Uncertainty State feedback Prediction algorithms Finite impulse response filter Parameter estimation Lyapunov method
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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