Control Theory on English AI Terms Dictionary

Intelligent control

Sat, 18 Jul 2026 10:02:57 +0000

Definition

Intelligent control employs artificial intelligence methods such as fuzzy logic, neural networks, and genetic algorithms to regulate systems where traditional mathematical modeling is insufficient or too complex. These controllers can learn from operational data, adapt to changing parameters, and optimize performance in real-time, providing robust solutions for applications like robotics, industrial manufacturing, and autonomous vehicle navigation.

Summary

Control systems that utilize AI techniques to manage complex, nonlinear, or uncertain dynamic processes.

Hierarchical control system

Sat, 18 Jul 2026 10:01:08 +0000

Definition

A hierarchical control system organizes control logic into multiple layers, typically ranging from high-level strategic planning to low-level real-time execution. Higher layers define objectives and constraints, while lower layers handle immediate actuation and feedback loops. This structure simplifies complex system management by decomposing problems into manageable sub-tasks, allowing for modularity, scalability, and easier debugging in robotics, industrial automation, and autonomous vehicle systems.

Summary

A control architecture where decision-making is organized into layers, with higher levels setting goals for lower-level controllers.

Force control

Sat, 18 Jul 2026 09:58:34 +0000

Definition

Force control enables robots to perform delicate operations such as assembly, polishing, or grasping fragile objects by actively managing the contact force rather than just position. Unlike pure position control, which dictates where the robot moves, force control adjusts the robot’s motion based on feedback from force sensors to maintain a specific pressure or torque. This capability is crucial for applications requiring compliance with environmental constraints, ensuring safety and precision in human-robot collaboration and industrial automation.