#sysid
🥳Our paper "Floating-Base Deep Lagrangian Networks (FeLaN)" has been accepted to #ICRA2026.

FeLaN: a grey-box approach for physically consistent SysID of floating-base robots (humanoids, quadrupeds).

📄 arxiv.org/abs/2510.17270
💻 Soon!
🌐 schulze18.github.io/felan_website/
February 3, 2026 at 4:29 PM
🎉Our paper "Context-Aware Deep Lagrangian Networks for MPC" was accepted at #IROS2025!

We present CaDeLaC: adaptive physics-consistent robot control via online SysID + MPC.

Paper: arxiv.org/abs/2506.15249

Big thanks to @ias-tudarmstadt.bsky.social @jan-peters.bsky.social @olegarenz.bsky.social
July 18, 2025 at 1:29 PM
Delighted to announce that the next IFAC Symposium on System Identification (SYSID 2027) will be in Lyon, France, on July 7–9, 2027. 🇫🇷

SYSID is the premier research event in system identification and related areas

Participation details and deadlines: conferences.ifac-control.org/sysid2027/pa...
March 25, 2026 at 1:12 PM
Approval confirmed;

Sys\K-80\: Dispatching: x1 K-x0 Model line Part# 70392 | Hip Analogue Replacement, Motor Frame 'Ulysses', Locomotor
(SYSID: HARMFUL)

Shipping to Sys\OfTheseus\:
Delivery Note: Enjoy further deviation from core model, Theseus.friend
November 23, 2024 at 9:47 AM
github.com/sysid/bkmr Is an interesting take on CLI KM. Personally I've lapsed in using nb because... life.
GitHub - sysid/bkmr: Knowledge Management for Humans and Agents
Knowledge Management for Humans and Agents. Contribute to sysid/bkmr development by creating an account on GitHub.
github.com
July 30, 2026 at 1:32 PM
🍻 bkmr 🍻

Unified CLI Tool for Bookmark, Snippet, and Knowledge Management

🔗 https://github.com/sysid/bkmr

#homebrew #newpkg #macos #linux #formula
May 19, 2025 at 12:48 PM
MAVLink v2 in 2026: Secure, Modular, and AI-Ready www.pudn.club/programming/...
MAVLink v2 in 2026: Secure, Modular, and AI-Ready
Modern MAVLink v2 development in 2026 emphasizes code generation, signing security, SysID filtering, async parsing, and RTOS-friendly architectures.
www.pudn.club
February 27, 2026 at 4:21 AM
I posted on tumblr exactly once about using it more and an old friend who knew me way back from megaten reddit rewrote it into a mitsuru talk sprite edit

it's funny how much pre-transition me was associated with mitsuru, and funny to see it brought back after so long

this is by sysid-ace on tumblr
May 23, 2026 at 4:21 AM
LOVE IT!

Did you model the flight at all? I reckon this is modelable with MuJoCo, with a little sysID
December 5, 2024 at 12:01 AM
CRAN updates: futureverse sysid #rstats
January 29, 2026 at 5:02 AM
A new frequency‑domain identification method reduces sinusoidal tests and keeps accuracy; validation on a lightly damped structural system confirmed results with far fewer runs. Read more: https://getnews.me/new-interpolation-method-boosts-frequency-domain-system-identification/ #freqdom #sysid
October 2, 2025 at 11:07 PM
The preprint, submitted September 2025, shows a batch estimator with exponential error decay as Markov‑parameter order k rises, even with ~1/k attack probability. Read more: https://getnews.me/batch-and-streaming-estimators-boost-system-identification-against-attacks/ #sysid #adversarialml
September 22, 2025 at 6:10 PM
Updates on CRAN: SVEMnet (3.2.0), sylly (0.1-7), symbolicDA (0.7-3), sysid (1.0.5), tabnet (0.8.0), tapnet (0.6), TCIU (1.2.8), teal.code (0.7.1), tepr (1.1.14), term (0.3.7), tesseract (5.2.5), textplot (0.2.3), tfrmt (0.3.0), tgml (0.4.0), tidyna (0.4.0), tidypopgen (0.4.3)
February 3, 2026 at 3:38 AM
Feed: "PyPI recent updates"
By: sysid@gmx.de on Saturday, June 6, 2026
twgh 0.1.1
Read-only GitHub reviewer CLI: triage, re-review diffs, comment threads
pypi.org
June 6, 2026 at 2:05 PM
edge device. We introduce an architecture-agnostic algorithmic optimization for SysId, improving the execution by 90x and reducing the consumption by 85x compared with the state-of-the-art SysId implementation on GAP9. Results show that by utilizing [6/8 of https://arxiv.org/abs/2504.04884v1]
April 8, 2025 at 6:14 AM
to tackle low-order SysID (i) Burer-Monterio (BM) factorization of the Hankel matrix for efficient nuclear norm minimization, and (ii) optimizing directly over system parameters for real, diagonalizable systems with an atomic norm style decomposition. [3/6 of https://arxiv.org/abs/2504.18791v1]
April 29, 2025 at 6:01 AM
arXiv:2504.18791v1 Announce Type: new
Abstract: Low-order linear System IDentification (SysID) addresses the challenge of estimating the parameters of a linear dynamical system from finite samples of observations and control inputs with minimal state [1/6 of https://arxiv.org/abs/2504.18791v1]
April 29, 2025 at 6:01 AM
#Conférence : 2027 IFAC Symposium on System Identification (SYSID), 7-9 July 2027, Lyon (France)
MACS type event : #Avec le soutien du GDR MACS

#date : 2027-07-07

site web : conferences.ifac-control.org/sysid2027/
lien : gdr-macs.fr/node/5310
Invitation to the IFAC Symposium on System Identification, Lyon, France, July 7-9, 2027 - 21st IFAC Symposium on System Identification (SYSID2027)
The 21st IFAC Symposium on System Identification will take place from July 7 to 9, 2027, in Lyon, France. The event will be hosted at ECAM Lyon, an engineering school located on the scenic slopes of o...
conferences.ifac-control.org
March 23, 2026 at 1:16 PM
vehicles collaboratively learns vehicle dynamics, we show that IC-SYSID achieves a high SYSID performance while preventing the learning of unstable clusters. [6/6 of https://arxiv.org/abs/2505.16857v1]
May 23, 2025 at 6:16 AM
cluster models with scaled Glorot initialization. It also utilizes a mini-batch deep learning approach to manage large SYSID datasets during local training. Through the experiments conducted on a real-world representing SYSID problem, where a fleet of [5/6 of https://arxiv.org/abs/2505.16857v1]
May 23, 2025 at 6:16 AM
merged. We also introduce enhanced ClusterCraft to reduce the generation of similar cluster models during the training. Moreover, IC-SYSID addresses cluster model instability by integrating a regularization term into the loss function and initializing [4/6 of https://arxiv.org/abs/2505.16857v1]
May 23, 2025 at 6:16 AM
SYSID (IC-SYSID), designed to tackle SYSID challenges across multiple data sources without prior knowledge. IC-SYSID utilizes an incremental clustering method, ClusterCraft (CC), to eliminate the dependency on the prior knowledge of the dataset. CC [2/6 of https://arxiv.org/abs/2505.16857v1]
May 23, 2025 at 6:15 AM