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Chapter 7. Conclusions and Future Research Directions Decision variables (guess) System identification Reduced model Multi-parametric optimization State and sensitivity equations integration Decision variables (new) Optimal explicit control laws and the corresponding critical regions Objective function and constraint sensitivities Non convergence NLP Solver Convergence Figure 7.1: Dynamic optimization approach with embedded system identification step for simultaneous design and control with mp-MPC formulation Optimal design and control configuration 172PDF Image | Operation and Control of Pressure Swing Adsorption Systems
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