Adaptive control systems use feedback to monitor the performance of a nanodevice or process. They incorporate sensors to gather data in real-time and algorithms to adjust control parameters accordingly. The primary components are:
Sensors to collect real-time data. Controllers that use algorithms to adjust system parameters. Actuators to implement changes based on controller output.
By continuously updating its parameters, an adaptive control system can maintain optimal performance even in the presence of disturbances or changes in the system.
