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Articles by Damon Petersen
"Combined Noncyclic Scheduling and Advanced Control for Continuous Chem" by Damon Petersen, Logan D. R. Beal et al.
scheduling, model predictive control, dynamic market, process disturbances, nonlinear Petersen, D., Beal, L. D. R., Prestwich, D., Warnick, S., & Hedengren, J. D. (2017). Combined Noncyclic Scheduling and Advanced Control for Continuous Chemical Processes. Processes, 5(4), 83. https://doi.org/10.3390/pr5040083 Petersen, Damon; Beal, Logan D. R.; Prestwich, Derek; Warnick, Sean; and Hedengren, John, "Combined Noncyclic Scheduling and Advanced Control for Continuous Chemical Processes" (2017).
What sorcery is this?
Yes, a number of folks have reported that phenomenon on the Harman website. Whether it's a glitch or intentionally hidden deal, they all got their speakers when ordered. I'd jump on it if I were in the market for HT speakers!
"Integrated Scheduling and Control in Discrete-time with Dynamic Parame" by Logan Beal, Damon Petersen et al.
Integrated scheduling and control (SC) seeks to unify the objectives of the various layers of optimization in manufacturing. This work investigates combining scheduling and control using a nonlinear discrete-time formulation, utilizing the full nonlinear process model throughout the entire horizon. This discrete-time form lends itself to optimization with time-dependent constraints and costs.
"Economic Benefit from Progressive Integration of Scheduling and Contro" by Logan Beal, Damon Petersen et al.
Performance of integrated production scheduling and advanced process control with disturbances is summarized and reviewed with four progressive stages of scheduling and control integration and responsiveness to disturbances: open-loop segregated scheduling and control, closed-loop segregated scheduling and control, open-loop scheduling with consideration of process dynamics, and closed-loop integrated scheduling and control responsive to process disturbances and market fluctuations.
"Combined Noncyclic Scheduling and Advanced Control for Continuous Chem" by Damon Petersen, Logan Beal et al.
A novel formulation for combined scheduling and control of multi-product, continuous chemical processes is introduced in which nonlinear model predictive control (NMPC) and noncyclic continuous-time scheduling are efficiently combined. A decomposition into nonlinear programming (NLP) dynamic optimization problems and mixed-integer linear programming (MILP) problems, without iterative alternation, allows for computationally light solution.
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