Comments (3)
@ChrisRackauckas I have been thinking more about this and was wondering how to go about doing this. Do you have any suggestions? I was looking at your odedef
macro here and here and it looks pretty complicated, so I was wondering do you know how to do this easily or if I am starting with the wrong thing?
from nloptcontrol.jl.
ParameterizedFunctions.jl gets hairy since there's so much other stuff involved, like inverse Jacobian calculations. We plan to cover optimal control in SciCompDSL.jl, which is the next DSL in construction and is designed to be cross platform. If you can take a look and weigh in on the things that are needed to do optimal control correctly then I'd be happy to make sure it's a good front-end for your needs.
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@ChrisRackauckas very cool! That would be great, thanks!
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Related Issues (20)
- About the installation HOT 6
- Is it working on julia 1.0? HOT 1
- About nonlinear constrain HOT 1
- How to set the final destination as a hard constrain HOT 1
- enabling scaling of the states and controls HOT 2
- NLOptControl and KNITRO HOT 3
- Defining Dynamics Model HOT 1
- Starting point for optimization HOT 2
- Info about upcoming removal of packages in the General registry
- package not found with Pkg.add() HOT 1
- Julia 1.0+ not supported HOT 16
- Cannot install the NLOptControl package on Julia 0.6.4 HOT 7
- Is it possible to specify boundary conditions for the control function? HOT 1
- Key error HOT 15
- Docs: broken links
- Simple Optimal control problem HOT 14
- ERROR: The following package names could not be resolved HOT 2
- Tutorial examples are not working HOT 1
- Vector-equation dynamics/objective?
- Failing to precompile with NLOptControl and JuMP HOT 3
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