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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

Rao Mease
State dimension: 1
Differential states: 1
Discrete control functions: 1


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 .

Mathematical formulation

minx,w010(x(t)2+w(t)2)dtsubject tox˙(t)=x(t)3+w(t),x(0)=1,x(10)=1.5

Reference Solutions

Here is one local solution to the above control problem.

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
Link to Google Scholar
, which contains further details.

References

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