SILO — Single Loop
Upload plant dynamics and run an AI-assisted single-loop controller design pipeline with live iteration reports.
🚀AI-Powered Control Design Platform
From Prompt to Deployed
Control System
Harness Agentic AI and control engineering to deliver an end-to-end solution: synthesize, verify, improve, and deploy reliable modular control systems for robotics, aerospace, embedded systems, and mechatronics—in hours, not weeks.
Inverted Pendulum Control
Enterprise-Grade Integration
⚙️
MATLAB Compatible
🤖
ROS Ready
🍓
Raspberry Pi
🛡️
Safety-Critical Ready
📊
Modular Design Pattern
⚡
Real-time Capable
Powerful Features
Everything you need to design, verify, and deploy production-grade control systems.
MULO — Multi Loop
Recommend architecture, trim to equilibrium, then optimize cascade loops with genetic algorithms.
MATLAB & Python Plants
Drop in `.m` or `.py` models. LabCD regularizes syntax, standardizes the plant, and keeps original behavior.
How It Works
From uploaded plant code to a deployed controller.
1
Upload plant dynamics
Bring MATLAB or Python models. The regularizer converts, fixes syntax, and standardizes the plant.
2
Choose SILO or MULO
Single-loop design, or a multi-loop path: recommender → trimmer → cascade optimization.
3
Verify and deploy
Inspect performance plots, iteration reports, and export a modular controller ready for robotics and embedded targets.
Why LabCD?
Agentic control design versus a traditional manual workflow.
| Feature | LabCD | Traditional Approach |
|---|---|---|
| Hours, not weeks | ✓ | — |
| MATLAB + Python plants | ✓ | — |
| Multi-loop architecture recommendation | ✓ | — |
| Human-in-the-loop trim | ✓ | — |
| Live design monitoring | ✓ | — |
See It In Action
Watch the inverted pendulum and the design pipeline in motion.
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LabCD control design demo
Ready to Revolutionize Your
Control Design?
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