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- W106326324 abstract "Previous experience with predictive control algorithms has shown that the way the optimization problems are formulated and solved has a big impact in the success of the control strategy. Here a multiple shooting formulation is proposed, where a process model is integrated separately inside each sampling interval, and the corresponding equality constraints are added directly to the optimization problem. It is shown that the resulting formulation provides a more reliable framework for the solution of predictive control problems, both in the linear and nonlinear cases. This strategy is compared with the original nonlinear Newton-type (state space) algorithm, on a number of process models with challenging features, including the reactor model from the Tennessee Eastman problem." @default.
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- W106326324 date "1995-06-01" @default.
- W106326324 modified "2023-09-24" @default.
- W106326324 title "Reliable and Efficient Optimization Strategies for Nonlinear Model Predictive Control" @default.
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- W106326324 doi "https://doi.org/10.1016/s1474-6670(17)47012-1" @default.
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