How does this skill help with controller design?

It maps specific engineering tasks, such as H-infinity or Pole Placement, to the exact ctrlsys routine names (e.g., sb10ad or sb01bd) and provides implementation patterns.

Why does the skill warn about array ordering?

ctrlsys routines require Fortran column-major order ('F'). The skill reminds users to use np.array(..., order='F') to ensure compatibility and accuracy.

Can I use this for system identification?

Absolutely. The skill includes specific lookups for the IB category routines, covering subspace methods like MOESP and N4SID for identifying models from data.

What is the ctrlsys library?

ctrlsys is a C11 control systems library with Python bindings, offering advanced routines for analysis, synthesis, transformation, and identification of control systems.

Does it handle discrete-time systems?

Yes, the skill provides guidance on using the DICO parameter to toggle between continuous-time ('C') and discrete-time ('D') system calculations.

Control Systems Engineering (ctrlsys)

Name: Control Systems Engineering (ctrlsys)
Author: jamestjsp

byjamestjsp

0•

数据科学与机器学习

Provides expert guidance and routine lookups for the ctrlsys control theory library, including LQR design, Riccati solvers, and system identification.

This skill empowers Claude to act as a control theory expert, facilitating the use of the ctrlsys C11/Python library for complex engineering tasks. It provides a comprehensive reference for finding the exact routine needed for tasks like H-infinity controller synthesis, Kalman filtering, state-space transformations, and model reduction. By clarifying naming conventions, array ordering, and in-place modification risks, it ensures robust implementation of mathematical control algorithms in Python environments, helping developers navigate the library's deep functional hierarchy with ease.

主要功能

010 GitHub stars

02Fast routine lookup for LQR, LQG, and H-infinity controller design

03Technical implementation tips for Fortran-order arrays and in-place safety

04Guidance on system identification methods like MOESP and N4SID

05Expert advice on matrix equations including Riccati, Lyapunov, and Sylvester

06Detailed mapping for state-space and transfer function transformations

使用场景

01Identifying system dynamics from experimental input/output data using subspace methods

02Designing and implementing optimal controllers (LQR/LQG) for complex physical systems

03Performing model order reduction and stability analysis for large-scale descriptors

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