Intelligent Control
A class of control techniques that utilize various artificial intelligence computing approaches to emulate important characteristics of human intelligence, such as neural networks, Bayesian probability, fuzzy logic, machine learning, reinforcement learning, evolutionary computation, and genetic algorithms.
Areas of application
- Manufacturing
- Robotics
- Transportation
- Energy Management
- Healthcare
- Finance
Example
For instance, an intelligent control system for a self-driving car could use machine learning algorithms to learn from real-time sensor data and make decisions about steering, acceleration, and braking based on the vehicle’s surroundings and goals.