Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
A Julia implementation, which utilizes the solver IPOPT to solve the OCP, was added. In contrast to the existing implementation, which utilizes the solver Altro, the IPOPT implementation allows arbitrary cost functions$J_H(u_{1:H},x_{1:H},y_{1:H})$ , measurement functions $y=g(x,u)$ , and constraints $h(u_{1:H},x_{1:H},y_{1:H})$ .
The new nonlinear JuMP interface is utilized to formulate the optimal control problem and pass it on to IPOPT. The implementation is thus similar to the MATLAB version of PGopt, which uses CasADi for this purpose.
Corresponding examples have been added, and the documentation has been adapted. The solver Altro can still be used to reproduce the results from the paper exactly.