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- W2074067769 abstract "A new approach is described for the deterministic global optimization of dynamic systems, including problems in pa- rameter estimation and optimal control. The method is based on interval analysis and Taylor models, and employs a sequential approach using a type of branch-and-reduce strategy. A key feature of the method is the use of a new vali- dated solver for parametric ODEs, which is used to produce guaranteed bounds on the solutions of dynamic systems with interval-valued parameters. This is combined with a new technique for domain reduction based on using Taylor models in an efficient constraint propagation scheme. The result is that problems can be solved to global optimality with both mathematical and computational certainty. Ex- amples are presented to demonstrate the computational ef- ficiency of the method." @default.
- W2074067769 created "2016-06-24" @default.
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- W2074067769 date "2006-09-01" @default.
- W2074067769 modified "2023-09-24" @default.
- W2074067769 title "Deterministic Global Optimization for Dynamic Systems Using Interval Analysis" @default.
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- W2074067769 doi "https://doi.org/10.1109/scan.2006.14" @default.
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