Can this skill help with system identification?

Yes, it provides guidance on using MOESP and N4SID subspace methods (via the IB prefix routines) to identify mathematical models from raw input/output data.

What is the Ctrlsys skill for Claude Code?

It is a specialized capability that enables Claude to provide precise documentation and implementation patterns for the ctrlsys control systems library, covering everything from matrix equations to robust control design.

Does the skill handle both continuous and discrete-time systems?

Absolutely. It helps users select the correct DICO parameters ('C' or 'D') and routines for both continuous and discrete-time control tasks.

What are the common naming conventions it supports?

It identifies routines using the XX##YY pattern, where XX is the category (like SB for Synthesis), ## is the subcategory, and YY is the variant suffix (like MD for real matrices).

Why does the skill warn about array copies?

Most ctrlsys routines are optimized for performance and may modify input arrays in-place. The skill helps prevent data corruption by reminding users to pass array copies when necessary.

Ctrlsys Control Theory Assistant

Name: Ctrlsys Control Theory Assistant
Author: jamestjsp

byjamestjsp

0•

数据科学与机器学习

Provides expert guidance on using the ctrlsys C11 library for control system design, analysis, and system identification.

This skill empowers Claude to act as a specialized control systems expert, helping developers navigate the ctrlsys library—a high-performance C11 toolkit with Python bindings. It provides instant lookup for complex routines including LQR/LQG design, Riccati solvers, Kalman filters, and H-infinity controllers. The skill ensures technical accuracy by advising on specific naming conventions, Fortran column-major array requirements, and best practices for avoiding in-place array modification errors during state-space transformations and system analysis.

主要功能

01Expert guidance on system identification using MOESP and N4SID subspace methods

02Detailed documentation for Riccati, Lyapunov, and Sylvester matrix equations

03Support for state-space transformations, model reduction, and frequency response analysis

04Technical warnings for Fortran-order memory management and in-place array modifications

05Task-to-routine lookup for LQR, LQG, and H-infinity controller design

060 GitHub stars

使用场景

01Designing optimal state-feedback controllers and observers for complex dynamic systems

02Performing model reduction on high-order systems using balanced truncation or Hankel-norm approximation

03Estimating system matrices (A, B, C, D) from experimental input/output data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jamestjsp/control-skills skills

For use in Claude.ai and ChatGPT