QP formulation from the MPC toolbox
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Elias Prytz
2023 年 10 月 20 日
コメント済み: Elias Prytz
2023 年 10 月 23 日
Hi,
I am studying different QP solvers (e.g. qpOASES, OSQP, DAQP and Gurobi) for a project I am doing at my university. I want to test their capabilites in MPC. I have tested them in the aircraft example and gotten some reasonable results, but now I wonder which QP formulation Matlab's mpc generates.
Does it create some sort of reduced-space condensed QP based on the state-space model? I am guessing this is the case because the hessian (H) of the objective function is only 11x11 for the MPC example mentioned above, with a horizon of 50 (4 states and 2 inputs).
I am guessing that it is not some sort of step-response model formulation (not for the aircraft model at least) because the model has unstable poles.
Does anyone have insights into this?
Thanks
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Emmanouil Tzorakoleftherakis
2023 年 10 月 23 日
編集済み: Emmanouil Tzorakoleftherakis
2023 年 10 月 23 日
We are currently using the dense formula as you mentioned, but also working on adding support for sparse problems. The following two links may be helpful:
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