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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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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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Use-case: nonlinear model predictive control (MPC)
MTK used to have this a while ago.
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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…
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Hello @junzengx14 @koushils @ayush-agrawal
Thanks for sharing this repo and your work in using CBF and CLF for the safety and stability of non-linear dynamic systems. I have read two of your pape…
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Does it work with the Go2 pro?
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Regarding the documentation on our [do-mpc](do-mpc.com) homepage.
[Problem.txt](https://github.com/d…
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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…