Comments (7)
Thanks for the interest. I am a bit busy at the moment writing my thesis, the wiki will come asap. Are you interested in control?
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Yeah, I'm a student studying control theory. I'm doing a project which compares the different opensource qp solver and I wanna to choose one for solving QP problem of large-scale system. Is HPMPC suitable for that?.
from hpmpc.
It depends on what you mean by large-scale. HPMPC is optimized for dense small-scale MPC problems, and the performance is close to optimal for dense problems with up to a couple of hundreds states and controls.
from hpmpc.
I mean 1000-100000 variables.
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You can have a try, but this is certainly not what it has been designed for.
from hpmpc.
Hi, how do you solve the linear system equations? LDL factorization or something else?
from hpmpc.
The solvers in HPMPC are designed to solve linear MPC problems, and not generic QPs. Therefore the (structured) KKT system of the unconstrained MPC problem is solved using a specialized Riccati recursion.
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Related Issues (20)
- QP solution differs from Ipopt HOT 4
- Compilation error
- Non-converging QP HOT 2
- Using abs(int) instead of fabs(double) ? HOT 1
- Not too ill-conditioned problem which does not converge
- Revive octave-interface HOT 2
- Shared library possibility HOT 2
- Use of infinity HOT 1
- Document 'lam' HOT 3
- Issue compiling test_problems HOT 6
- K_MAX ignored in test_d_ip_hard_libstr.c HOT 1
- Duality gaps exploding for certain instances? HOT 4
- Soft constraints HOT 3
- Hard-constrained MPC test without BLASFEO faster than with it? HOT 3
- Compile in Windows HOT 1
- c_order_d_ip_ocp_hard_tv() returns garbage in the number of iterations output variable
- Compilation error for MHE case
- Add return code constants
- Unsolved QP problem HOT 3
- Unsolvable QP (0 iterations, return code -1) HOT 2
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