Rao Mease: Difference between revisions
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The '''Rao Mease problem''' is a very sensitive one-dimensional toy [[:Category:ODE model|ODE model]] which is especially suited for multiple shooting solvers. It aims to minimize a quadratic Lagrange term. | The '''Rao Mease problem''' is a very sensitive one-dimensional toy [[:Category:ODE model|ODE model]] which is especially suited for multiple shooting solvers. It aims to minimize a quadratic Lagrange term. | ||
The optimal integer control functions exhibits a [[Category:Sensitivity-seeking arcs|singular arc]]. | The optimal integer control functions exhibits a [[:Category:Sensitivity-seeking arcs|singular arc]]. | ||
== Mathematical formulation == | == Mathematical formulation == | ||
Revision as of 07:59, 20 August 2025
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The Rao Mease problem is a very sensitive one-dimensional toy ODE model which is especially suited for multiple shooting solvers. It aims to minimize a quadratic Lagrange term.
The optimal integer control functions exhibits a singular arc.
Mathematical formulation
Reference Solutions
Here is one local solution to the above control problem.
- Reference solution plots
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States and measurement control for different choices of .
Miscellaneous and Further Reading
The Toy OED problem was introduced by Sebastian Sager in the paper [Sager2013]Author: Sager, S.
Journal: SIAM Journal on Control and Optimization
Number: 4
Pages: 3181--3207
Title: Sampling Decisions in Optimum Experimental Design in the Light of Pontryagin's Maximum Principle
Url: http://mathopt.de/PUBLICATIONS/Sager2013.pdf
Volume: 51
Year: 2013
, which contains further details.
References
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