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Robust performance design of a state predictive controller on parameter space
Author(s) -
Saeki Masami,
Assi Mouhammad,
Wada Nobutaka
Publication year - 2014
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.21932
Subject(s) - control theory (sociology) , multiplicative function , observer (physics) , state space , parameter space , computer science , controller (irrigation) , measure (data warehouse) , robust control , robustness (evolution) , state (computer science) , model parameter , model predictive control , control engineering , mathematics , engineering , algorithm , control (management) , control system , statistics , artificial intelligence , data mining , mathematical analysis , biochemistry , physics , chemistry , electrical engineering , quantum mechanics , gene , agronomy , biology
Robust performance against a multiplicative uncertainty is an important measure for closed‐loop performance. In this article, a parameter space design method of a state predictive controller is proposed for second‐order time‐delay systems. The boundaries of two permissible regions of state feedback gains and observer gains that satisfy the robust performance condition at each frequency are obtained. An appropriate solution can be found after a few iterations by drawing the regions on the two parameter planes, alternatively. © 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.