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Hybrid systems modeling, parametric programming, and model predictive control - impact on process operations


M. Morari

FOCAPO, University of Princeton, Princeton, New Jersey, USA

Process operations often involve transitions between operating modes, which are typically described by their own dynamic models, constraints and specifications. Developing a formal theoretical framework and efficient computational tools to deal with such operational issues pose a formidable challenge. In the paper, we give an overview of recent key developments in this direction, involving (i) modeling of hybrid systems, exhibiting both continuous and discrete dynamics, to rigorously represent complex operations, and (ii) parametric programming mathematical and computational tools, to design optimal feedback control laws for constrained linear dynamic systems, in the context of model predictive control principles. Applications to a wide range of industrial problems will be discussed.


Type of Publication:

(05)Plenary/Invited/Honorary Lecture

M. Morari

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