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Observers in nonlinear model‐based predictive control
Author(s) -
Kouvaritakis B.,
Wang W.,
Lee Y. I.
Publication year - 2000
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/1099-1239(200008)10:10<749::aid-rnc509>3.0.co;2-t
Subject(s) - nonlinear system , control theory (sociology) , invariant (physics) , model predictive control , computer science , observer (physics) , separable space , lti system theory , mathematics , control (management) , artificial intelligence , linear system , physics , quantum mechanics , mathematical analysis , mathematical physics
A closed‐loop reformulation of the dual‐mode paradigm affords significant advantages in model‐based predictive control of systems subject to uncertainty and/or disturbances and/or nonlinear dynamics. This paper considers earlier results based on ellipsoidal invariant sets and proposes extensions to the output feedback nonlinear case by defining invariant sets both for the system state and the error dynamics of a nonlinear observer. Particular attention is paid to the class of systems with separable nonlinearities but the results carry over to the general case. Copyright © 2000 John Wiley & Sons, Ltd.