Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/5083

TitleOptimal control of fed-batch processes with particle swarm optimization
Author(s)Vaz, A. Ismael F.
Ferreira, E. C.
KeywordsFed-batch fermentation process
Optimal control
Particle swarm optimization
Issue dateMay-2006
CitationCONGRESO NACIONAL DE ESTADÍSTICA E INVESTIGACIÓN OPERATIVA, 19, Laguna, 2006 - "Actas del Congreso XXIX, Congreso Nacional de Estadística e Investigación Operativa : Contribuiciones a la Estadística y a la Investigación Operativa". [[S.l. : s.n.], 2006. ISBN 84-690-8552-X.
Abstract(s)Optimal control problems appear in several engineering fields. These problems are often described by sets of nonlinear differential and algebraic equations, usually subject to constraints in the state and control variables. Some bioprocess optimal control problems are revisited and a numerical approach to its solution is introduced. The numerical procedure used to solve the problems takes advantage of the well know modeling AMPL language, providing an external dynamic library that solve the nonlinear differential equations. The optimal control problem as generally presented belongs to the class of semi-infinite programming (SIP) problems. A transformation of the SIP problem results in a nonlinear optimization problem (NLP) that can be address by off-the-shelf optimization software. The NLP formulation results in nondifferentiable optimization problems were the global solution is mostly desirable. We apply a particle swarm optimization strategy implemented in the MLOCPSOA [13] solver. Particle swarm optimization (PSO) is a stochastic technique that mimics the social behavior of a swarm.
TypeConference paper
URIhttp://hdl.handle.net/1822/5083
ISBN84-690-8552-X
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Artigos em Livros de Atas / Papers in Proceedings
LES/ALG - Textos completos em actas de encontros científicos internacionais com arbitragem

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