Bayesian Optimisation package for ROS
-
Updated
Nov 17, 2021 - Python
Bayesian Optimisation package for ROS
Stick Labs Pro: verified controller tuning (deadzones, curves, 8 kHz polling, calibration). Windows app and browser version.
On-premise open-source LLMs as reliable structural priors for coupled MIMO controller tuning (IEEE Access)
Code and compact results for a simulator-grounded benchmark of LLM controller performance judgment
PID controller design for a third-order-plus-dead-time process: ultimate gain, Ziegler-Nichols and manual tuning in Simulink/MATLAB, with a Python tuning map and robustness study (ChE 475 Process Dynamics and Control)
To associate your repository with the controller-tuning topic, visit your repo's landing page and select "manage topics."