Build a state-space model from M, K, and C matrices and generate a Bode plot with python-control.
npx skills add https://github.com/tatsuki-washimi/gwexpy --skill calc-bode
Please help me install this Agent Skill. Skill: calc_bode Source: https://github.com/tatsuki-washimi/gwexpy/tree/main/.agent/skills/calc_bode Command: npx skills add https://github.com/tatsuki-washimi/gwexpy --skill calc-bode
This skill builds a state-space model from mass (M), stiffness (K), and damping (C) matrices and generates a frequency response (Bode plot) using the python-control library.
Provide a state-space model with M, K, and C, and generate the Bode plot using python-control.
High-intent search queries and answers about installing and using this skill.
You can generate a Bode plot from M, K, and C matrices by building a state-space model and computing the frequency response using the python-control library. The skill handles matrix construction and visualization automatically.
Yes, you can analyze multi-degree-of-freedom mechanical vibrations using state-space models. This skill accepts M, K, and C matrices to support MIMO systems and visualizes resonance characteristics in the frequency response.
You need numpy and the python-control package to compute frequency response for mechanical dynamics. These dependencies construct the A and B matrices, produce the transfer function, and generate the Bode plots.
Yes, this approach works for both control-system design and vibration analysis. By constructing state-space representations from M, K, and C matrices, the generated Bode plots help assess stability and resonance across multi-degree-of-freedom models.
The best way to assess stability and resonance characteristics from modal data is to build a state-space model from M, K, and C matrices and generate a Bode plot, which visually represents the frequency response for analysis.
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