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Synthesis of multivariable nonlinear controllers by input/output linearization
Author(s) -
Kravaris Costas,
Soroush Masoud
Publication year - 1990
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690360211
Subject(s) - multivariable calculus , control theory (sociology) , feedback linearization , nonlinear system , linearization , linearizability , nonlinear control , controller (irrigation) , process (computing) , computer science , mathematics , control engineering , control (management) , engineering , algorithm , agronomy , physics , artificial intelligence , quantum mechanics , correctness , biology , operating system
Abstract This work concerns the synthesis of nonlinear controllers for multivariable nonlinear processes that make the closed‐loop system linear in an input/output sense. Necessary and sufficient conditions for input/output linearizability via static state feedback are derived as well as formulas for the feedback law. Once such a static state feedback is applied to the process, an external multivariable linear controller with integral action can control it to set point. The proposed control methodology is tested through simulations in a semibatch copolymerization reactor example.