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Model Predictive Control Group |
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Model predictive control is powerful technique for optimizing the performance of constrained systems. Constraints are present in all control systems due to physical, environmental and economic limits on plant operation, and the systematic handling of constraints provided by predictive control strategies allows for significant improvements in performance over conventional control methodologies. The focus of the Oxford group's work is on control
of nonlinear systems, stochastic systems, and systems with fast
dynamics. The approach is applicable to problems in aerospace, robotics
and process control, as well as econometric systems encountered in
financial engineering applications. |
