1 |
Robust model predictive control via multi-scenario reference trajectory optimization with closed-loop prediction Li H, Swartz CLE Journal of Process Control, 100, 80, 2021 |
2 |
Nonlinear model predictive control of organic Rankine cycles for automotive waste heat recovery: Is it worth the effort? Vaupel Y, Schulze JC, Mhamdi A, Mitsos A Journal of Process Control, 99, 19, 2021 |
3 |
Optimization of forced periodic operations in milli-scale fixed bed reactor for Fischer-Tropsch synthesis Nikacevic N, Todic B, Mandic M, Petkovska M, Bukur DB Catalysis Today, 343, 156, 2020 |
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Trajectory optimization of an oscillating industrial two-stage evaporator utilizing a Python-Aspen Plus Dynamics toolchain Yamanee-Nolin M, Andersson N, Nilsson B, Max-Hansen M, Pajalic O Chemical Engineering Research & Design, 155, 12, 2020 |
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Parameter estimation and optimal control of a batch transesterification reactor: An experimental study De R, Bhartiya S, Shastri Y Chemical Engineering Research & Design, 157, 1, 2020 |
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A Tchebycheff-based multi-objective combined with a PSO-SQP dynamic real-time optimization framework for cycling energy systems Kim R, Lima FV Chemical Engineering Research & Design, 156, 180, 2020 |
7 |
Artificial Neural Networks for dynamic optimization of stochastic multiscale systems subject to uncertainty Kimaev G, Ricardez-Sandoval LA Chemical Engineering Research & Design, 161, 11, 2020 |
8 |
Industry-Driven Rapid Prototyping for Comparing Nonlinear Control Schemes in Pyomo Schmid J, Teichert K, Chioua M, Schindler T, Bortz M Chemie Ingenieur Technik, 92(12), 2016, 2020 |
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Dynamic Sharing Through the ADMM Cao XY, Liu KJR IEEE Transactions on Automatic Control, 65(5), 2215, 2020 |
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Advanced-step multistage nonlinear model predictive control: Robustness and stability Yu Z, Siegler LT Journal of Process Control, 85, 15, 2020 |