1996
DOI: 10.1016/0098-1354(96)00157-3
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Optimal synthesis and design of dynamic systems under uncertainty

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Cited by 48 publications
(25 citation statements)
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“…Ž These include the work of Grossmann and coworkers Grossmann and Sargent, 1978;Halemane and Grossmann, 1983;Grossmann and Floudas, 1987;Pistikopoulos and Gross-. Ž mann, 1988a and others Acevedo and Pistikopoulos, 1998;Bansal et al, 2000;Mohideen et al, 1996;Pistikopoulos, 1995Pistikopoulos, , . 1997Ostrovsky et al, 1997 . Optimal design with unknown parameters is usually formulated by maximizing an objective function that represents the Ž .…”
Section: Introductionmentioning
confidence: 95%
“…Ž These include the work of Grossmann and coworkers Grossmann and Sargent, 1978;Halemane and Grossmann, 1983;Grossmann and Floudas, 1987;Pistikopoulos and Gross-. Ž mann, 1988a and others Acevedo and Pistikopoulos, 1998;Bansal et al, 2000;Mohideen et al, 1996;Pistikopoulos, 1995Pistikopoulos, , . 1997Ostrovsky et al, 1997 . Optimal design with unknown parameters is usually formulated by maximizing an objective function that represents the Ž .…”
Section: Introductionmentioning
confidence: 95%
“…into MINLP Mohideen et al (1996) Economically optimal design and control van Schijndel and Pistikopoulos (2000) Review on process design and operability Kookos and Perkins (2001) Algorithm for simultaneous design and control via analyzing a sequence of combined configurations and making use of a bounding scheme to successively reduce the size of the search space Sakizlis et al (2004a) Review on design and control Flores-Tlacuahuac and Biegler (2007) MIDO transformed to MINLP Würth et al (2011) Dynamic optimisation and NMPC Yuan et al (2012) Review on design and control Diangelakis et al (2014b) Sequential design optimisation and mp-MPC. Application on a residential cogeneration system Liu et al (2013) Optimal design and operation of distributed systems with focus on the trade offs between modelling accuracy and computational complexity and efficiency.…”
Section: Authorsmentioning
confidence: 99%
“…Mohideen et al further extended this work by using an economic objective. 141,142 The objective of this approach is to select design variables and a control scheme to optimize the cost, whereas remaining feasible over the finite time horizon under both parametric uncertainty and disturbances. Because the class of controllers is restricted, in this approach PID controllers are included in the formulation, such that the result is actually a pessimistic bound on the solution.…”
Section: Optimization-based Approachesmentioning
confidence: 99%