The Road to Advanced Process Control: From DDC to Real-Time Optimization and Beyond

Pedersen, Clifford C.; Hoffman, Terrence W.

doi:10.1016/s1474-6670(17)43168-5

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…For such questions, control theory provides powerful tools to analyze the controllability of the system. The controllability of chemical reaction systems has been studied widely in both industries and academia [3][4][5][6][7][8][9]. The purpose of the chemical processes control is usually the stable running of the chemical plant at the economically optimal state using on-line optimization [3][4][5].…”

mentioning

confidence: 99%

“…The controllability of chemical reaction systems has been studied widely in both industries and academia [3][4][5][6][7][8][9]. The purpose of the chemical processes control is usually the stable running of the chemical plant at the economically optimal state using on-line optimization [3][4][5]. In such frameworks, the supply and drain of chemicals, temperature, and pressure are control inputs.…”

mentioning

confidence: 99%

“…For the directionality of the rth reaction at ur = 0, we define it by sgn Jr(u, x)| ur =0 = lim ur →+0 sgn Jr(u, x) 4. On the null-reaction manifolds, c n + cr ln xc − ln kr − c n − cr ln xc = 0 holds.…”

mentioning

confidence: 99%

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A theoretical basis for cell death

Himeoka,

Horiguchi,

Kobayashi

2024

Preprint

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A simple method to compute the controllable set of chemical reaction systems with enzyme concentrations as the control parameters is presented. The method features the fact that the catalyst enhances the reaction rate while not changing the equilibrium, and it enables the efficient computation of the global controllability of linear- and nonlinear models. The method is applied to the reversible Brusselator and the toy model of cellular metabolism. With the metabolism model, we show that the stoichiometric rays is a powerful tool for quantifying the "life-death boundary" of the cell model.

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