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Chapter 5. Simultaneous Design and Control Optimization of PSA Systems Under Uncertainty Table 5.1: Key contributions in the field of integrated design and control Authors Nishida and Ichikawa [105] Nishida et al. [106] Lenhoff and Morari [86] Palazoglu and Arkun [110] Luyben and Floudas [90] Mohideen et al. [98] Bansal et al. [12] Sakizlis et al. [138] Features Optimization for design of dynamic system with piece- wise control A min-max formulation for design of dynamic system under parametric uncertainty Multi-objective formulation; Simultaneously incorpo- ration of steady state economics and dynamic perfor- mance indexes Optimization based approach with steady state eco- nomics as objective, and dynamic performance robust- ness indices ε constrained MINLP formulation with steady state economics as ob jective, and controllability index ε constrained An iterative decomposition algorithm for simultaneous design and control under uncertainty Mixed integer dynamic optimization (MIDO) based it- erative decomposition algorithm for simultaneous de- sign and control optimization under uncertainty Extended the decomposition algorithm from [98] and [12] for the explicit/multi-parametric MPC controller mode 101PDF Image | Operation and Control of Pressure Swing Adsorption Systems
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