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Hi
I hope you are in good health. I am also working on model predictive control. It is very difficult to implement NMPC into simulink without using any toolbox or solver. Do you have any simple exa…
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### Feature Type
Adding new functionality to the project
### Problem Description
A common type of low-level controller for AUVs/ROVs is nonlinear model predictive control (NPMC). Providing su…
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hi everyone,
I want to ask can i use qpOASES for nonlinear model predictive control without using any other toolbox .
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Use-case: nonlinear model predictive control (MPC)
MTK used to have this a while ago.
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Hello, I can't find the paper titled [Learning Model Predictive Control of Nonlinear Systems with Time-varying Parameters Using Koopman Operator]. May I ask if the title has been changed?
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Regarding the documentation on our [do-mpc](do-mpc.com) homepage.
![problem](https://github.com/do-mpc/do-mpc/assets/52478613/d8523c2b-3f3d-46ef-bbd8-7b320b45dcad)
[Problem.txt](https://github.com/d…
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**Is your feature request related to a problem? Please describe.**
I am interested in pure linear MPC with do-mpc, but I am getting frustrated to see this basic feature is not even supported or doc…
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Some numerical schemes are _semi-implicit_, i.e., some terms refer to the new time step, and some terms to the old.
It would be good to be able to support such schemes in pymola. This could be done…
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Hi,
I have trouble understanding the proof of Proposition 1 of your paper (https://arxiv.org/pdf/1609.07152.pdf). Can you provide supplementary steps why a fully connected ICNN (defined in equation …
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Sampling-Based Nonlinear Stochastic Optimal Control for Neuromechanical Systems.
Determining how the nervous system controls tendon-driven bodies remains an open question. Stochastic optimal contro…