← All projectsGitHub
Digital twins & sim-to-real

Is the overflow twin's lead over black-box models on a real two-tank rig statistically real? A 0.13 V RMSE gap over ARX 4/4 with a block-bootstrap 95% interval of 0.06 to 0.20 V

research/free-tankci

Is the overflow twin's lead over black-box models on a real two-tank rig statistically real? A 0.13 V RMSE gap over ARX 4/4 with a block-bootstrap 95% interval of 0.06 to 0.20 V; the iid bootstrap is about three times too narrow. Test-trace sampling only, not fit variance.

5 tests

What it found

Puts an uncertainty interval on the headline of free-tanktwin: the 8-parameter overflow twin's held-out RMSE (0.528 V) against linear ARX 4/4 (0.655 V) on the real Cascaded Tanks measurements (Schoukens et al. 2016). Uses a paired circular moving-block bootstrap over the 974 test samples (4,000 resamples) and sweeps the block length from 1 to 200 because the test errors are autocorrelated (integrated autocorrelation time about 41 samples). The gap is 0.126 V with a 95% interval of 0.060 to 0.200 V at block 25 and 0.061 to 0.194 V at block 50; no interval at any block length includes zero, and the ordinary iid bootstrap (0.104 to 0.150 V) is about three times too narrow. Only test-trace sampling is quantified, not fit variance or a new rig, and 974 samples give roughly 24 effective blocks, so the 95% is nominal. Data are measured predictions committed by free-tanktwin; no input is invented.

A figure from its own output

Figure produced by research/free-tankci: gap_ci
free-tankci/experiments/gap_ci.png, written by the project's own experiment code.

Paper, code and results

More in Digital twins & sim-to-real

All 164 Digital twins & sim-to-real projects →

Other research topics

Proper scoring & elicitation28Effort & peer prediction9Verification games & slashing19Detection & tolerances14Markets as routers13Prediction-market design9Paying contributors8Decentralised training systems23Digital twins & sim-to-real164LLM chip design loops40Robot manufacturing loops53Ambient AI assistant46Self-replicating manufacturing34Simulation-first design64Engineered clothing45Task-specific AI accelerators40Algorithmic chip-design loops42Open-source purpose-built robots44The software-engineering loop43Adversarial human imitation41Open-source residential construction41Autonomous multi-angle capture34Sensing, imaging and 3D31Energy supply and dense energy storage39Robot societies among people31Agentic co-design of low-cost robots27Laundry-hanging robots25Machine learning on qualitative data23Robots on the building site27Civilizations & group psychology1History & human sciences1

Produced with AI assistance (Claude). Results are from the code in this repository and are simulated or stylised unless the abstract says otherwise; nothing here implies affiliation with or endorsement by any lab, researcher or company cited. MIT licensed.