Optimisation of biochemical reactors—an analysis of different approximations of fed-batch operation
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Cited by (17)
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2022, IFAC-PapersOnLineOptimization of fed-batch fermentation processes with bio-inspired algorithms
2014, Expert Systems with ApplicationsCitation Excerpt :However, in the majority of the cases reported, determination of the optimal feed rate profile is a problem of singular control, because the control variable (feed rate) often appears linearly in the system of differential equations (Shin & Lim, 2006). Thus, this approach fails to provide a complete solution (Shukla & Pushpavanam, 1998; Tartakovsky, Ulitzur, & Sheintuch, 1995). Nevertheless, in several studies, singular control theory was used to solve the analytical control problem (Lee & Ramirez, 1994; Levisauskas et al., 2003; Modak, Lim, & Tayeb, 1986; Park & Ramirez, 1988), while an unified methodology was proposed by Smets, Claes, November, Bastin, and Impe (2004), the so-called optimal adaptive control strategy, where a theoretically realizable optimum is obtained using the PMP and an adaptive controller is derived based on those results to correct on-line deviations caused by model inaccuracies.
Following an optimal batch bioreactor operations model
2012, Chemical Engineering and Processing: Process IntensificationThe solution of singular optimal control problems using the modified line-up competition algorithm with region-relaxing strategy
2010, ISA TransactionsCitation Excerpt :Recently, many numerical strategies [1–4] have been proposed to facilitate the solutions of SOCPs via a variational approach.
ANNSA: A hybrid artificial neural network/simulated annealing algorithm for optimal control problems
2003, Chemical Engineering Science
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Present address: Prof. S. Pushpavanam, Indian Institute of Technology, Department of Chemical Engineering, Madras 600 036, India.