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Lyapunov‐based offset‐free model predictive control of nonlinear process systems
Author(s) -
Das Buddhadeva,
Mhaskar Prashant
Publication year - 2015
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.22134
Subject(s) - control theory (sociology) , model predictive control , offset (computer science) , nonlinear system , lyapunov function , control engineering , computer science , nonlinear model , lyapunov redesign , internal model , engineering , control (management) , artificial intelligence , physics , quantum mechanics , programming language
This work considers the problem of control of nonlinear systems subject to uncertainty. To this end, a Lyapunov‐based robust model predictive controller (MPC) design is integrated with a moving horizon based offset‐free mechanism to enable improved closed–loop performance. Simulation results are presented to illustrate the key ideas of the proposed design.