first-order-model-fitting

Community

Extract K and tau from step-response data.

AuthorKaiserWhoLearns
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables rapid estimation of first-order dynamics by extracting gain K and time constant tau from a step-response dataset, turning raw measurements into quantified system parameters.

Core Features & Use Cases

  • Parameter estimation: fit a first-order model to step-response data to obtain K, tau, and ambient baseline.
  • Broad applicability: suitable for thermal, electrical, and mechanical systems with step inputs and measurable outputs.
  • Use Case: determine how a heater's input power translates to temperature rise by fitting experimental data to the model.

Quick Start

Provide a time-series of step-response data and run the first-order model fit to obtain K and tau.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: first-order-model-fitting
Download link: https://github.com/KaiserWhoLearns/skillsbench/archive/main.zip#first-order-model-fitting

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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