closed-loop
term_id: closed_loop
Category: basic_concepts
Definition
Closed-loop systems in AI utilize real-time feedback from the environment to dynamically adjust their behavior or parameters. This contrasts with open-loop systems that execute pre-defined sequences without adaptation. By constantly comparing actual outcomes against desired goals, closed-loop architectures enable robust autonomy in robotics, adaptive control, and reinforcement learning agents operating in dynamic environments.
Summary
A control system where output feedback is continuously used to adjust future actions.
Key Concepts
- Feedback Loop
- Real-time Adjustment
- Autonomy
- Control Theory
Use Cases
- Autonomous Vehicle Control
- Reinforcement Learning
- Adaptive Robotics