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Structural analysis and output feedback control of nonlinear multivariable processes
Author(s) -
Daoutidis Prodromos,
Kumar Aditya
Publication year - 1994
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.690400409
Subject(s) - multivariable calculus , control theory (sociology) , nonlinear system , robustness (evolution) , singularity , matrix (chemical analysis) , output feedback , mathematics , nonlinear control , computer science , control (management) , control engineering , engineering , mathematical analysis , physics , biochemistry , chemistry , materials science , quantum mechanics , artificial intelligence , composite material , gene
This article concerns general multivariable nonlinear processes, particularly those with singular characteristic matrix. A precise characterization of the structural process properties that give rise to generic singularity of the characteristic matrix is initially developed within a graph‐theoretic analysis framework. An output feedback controller synthesis problem is then formulated for multivariable processes with singular characteristic matrix. A comprehensive solution to this problem is obtained through a combination of dynamic state feedback controllers and state observers. The performance and robustness characteristics of the proposed control methodology are illustrated through simulations in a double‐effect evaporator.