state-space-linearization
CommunityTurn nonlinear dynamics into linear controllers
Education & Research#robotics#state-space#linearization#discretization#jacobian#control-design#dynamic-systems
AuthorKaiserWhoLearns
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a systematic method to linearize nonlinear dynamics around a chosen operating point, yielding a usable state-space representation for design, analysis, and controller synthesis.
Core Features & Use Cases
- Jacobian-based linearization: Compute A and B matrices from the nonlinear dynamics via Jacobians.
- Discretization options: Support Euler and matrix-exponential discretization for dt-based implementations.
- Use Case: Design a controller for a robotic arm or vehicle by linearizing around the current operating point to simplify control design.
Quick Start
Provide a linearized state-space model around a specified operating point for a given nonlinear system.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: state-space-linearization Download link: https://github.com/KaiserWhoLearns/skillsbench/archive/main.zip#state-space-linearization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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