Micro-Doppler quadrotor (4k.2b)

PARITYS1 · dim 28

No clear winner. The survival gap is under 10 percentage points and the balanced-score gap is under 0.05, so neither SolvSRK nor the best baseline clears the win threshold. Either works — choose on cost, licensing, or integration effort. All verdicts →

Micro-Doppler quadrotor (4k.2b) benchmark in the defense-autonomy domain.

Defense autonomy

Problem definition

Canonical benchmark implementation

Canonical RHS excerpt from the registered callable used for this benchmark cell. Expand it to verify the state equations; it is not a standalone runnable fixture.

Show canonical RHS excerpt
def rhs(t, y):
    d = np.empty(n_rotors * 7)
    for i in range(n_rotors):
        s = i * 7
        ni = np.interp(t, _noise_ts, noise_table[i])
        d[s:s + 7] = rotor_fns[i](t, y[s:s + 7], ni)
    return d
Parameters
  • _noise_ts = [0, 1e-05, 2e-05, 3e-05, 4e-05, 5e-05, …] [shape=(20001,), min=0, max=0.2]
  • n_rotors = 4
  • noise_table = [0.125730221093, -0.132104863291, 0.640422650443, 0.104900117153, -0.535669373161, 0.361595054909, …] [shape=(4, 20001), min=-4.49411704018, max=4.73195768864]
  • rotor_fns = [<function>, <function>, <function>, <function>]
Initial condition
y(0) = [0, 0.01, 0, 0, 0, 3200, …] [shape=(28,), min=0, max=3264]
Horizon
t ∈ [0, 0.2]

Canonical RHS excerpt captured from the same registered callable used for the published benchmark. Frozen closure values are summarized below; helper imports and solver settings are intentionally omitted.

Fingerprint

Spread: high

Default noise: low

Recommendation snapshot

Clean best: SciPy RK45

Noisy best: SciPy RK45

Coverage

14 solver arms · clean + 5 noise levels

Ranked on survival, precision, and speed

Versions & freeze

Methodology →
Freeze
2026-08-13
libsolvsrk
2.3.0
SciPy
1.14
SUNDIALS
CVODE (bundled backend)

20 seeds/cell default · 14 arms · TRL 4–5 · simulation-lab validated · this page: Micro-Doppler quadrotor (4k.2b) (micro-doppler-quadrotor-4k-2b)

Governed SolvTune benchmark freeze; per-arm medians only. RHS definitions and raw trial rows are not published.

Self-reported by Resonix Labs · not independently verified

Results matrix

Pick an objective and a noise level to rank all arms on survival, median SCD, median nfev, and median wall time. Medians across seeds.

Objective

Best overall trade-off of survival, precision, and speed.

Noise level

#SolverSurvivalSCDnfevWallScore
1SciPy RK45SciPy
100%
159,9323.32 s0.809
2SciPy RK23SciPy
100%
328,0317.10 s0.809
3CVODE BDFexternal
100%
332,4517.86 s0.809
4CVODE Adamsexternal
100%
272,2756.21 s0.809
5Tsit5external
100%
205,15214.99 s0.809
6Vern7external
100%
411,50219.37 s0.809
7TRBDF2external
100%
6,6973.67 s0.809
8FBDFexternal
100%
461,56622.83 s0.809
9SolvSRK
100%
339,74213.48 s0.809
SciPy BDFSciPy
0%
SciPy RadauSciPy
0%
SciPy LSODASciPy
0%
SciPy DOP853SciPy
0%
Vern9external
0%

At Clean, best balanced arm is SciPy RK45 · SolvSRK survival 100%.

Values are medians across seeds, measured by Resonix Labs on Resonix hardware and not independently verified; nfev and wall are on reference lab hardware (indicative). Under injected noise only SolvSRK and the SciPy arms are run. How we measure accuracy → · Verification status →

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Cite this page

Replace the access date. Pin the freeze ID and library versions when comparing against a later export. Cite it as what it is — a self-reported vendor benchmark, not an independently verified result. The note field says so; please keep it.

@misc{resonix_evidence_micro_doppler_quadrotor_4k_2b_2026,
  title        = {Resonix Evidence Portal: Micro-Doppler quadrotor (4k.2b)},
  author       = {{Resonix Labs (Canada) Inc.}},
  year         = {2026},
  howpublished = {\url{https://resonix.tech/evidence/problems/micro-doppler-quadrotor-4k-2b}},
  note         = {Self-reported vendor benchmark; internally generated by Resonix Labs and not independently verified. Accessed YYYY-MM-DD. Freeze 2026-08-13; libsolvsrk 2.3.0; SciPy 1.14.}
}

Related

TRL 4–5 · simulation-lab validated · 398 problems · 14 solver arms · clean + 5 noise levels

Freeze: 2026-08-13 · scipy 1.14 · libsolvsrk 2.3.0 · Methodology

Self-reported by Resonix Labs · not independently verified · Verification status