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Reduced order model predictive control with disturbance attenuation
Author(s) -
Takahashi Masaaki,
Hara Naoyuki,
Kokame Hideki,
Konishi Keiji
Publication year - 2011
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.20613
Subject(s) - attenuation , model predictive control , disturbance (geology) , control theory (sociology) , quadratic equation , decomposition , control (management) , function (biology) , computer science , mathematics , mathematical optimization , physics , ecology , geology , geometry , paleontology , artificial intelligence , optics , biology , evolutionary biology
This paper deals with model predictive control (MPC) with disturbance attenuation. By introducing a decomposition method for a quadratic objective function, an MPC law is obtained from a reduced order optimization problem. The effectiveness of the proposed MPC law is demonstrated by numerical simulation. IEEJ Trans 2010 DOI: 10.1002/tee.20613