Adaptive controllers typically employ algorithms that continuously monitor the system's performance and make necessary adjustments. These algorithms can be based on various methods such as [model predictive control](https://), [neural networks](https://), or [fuzzy logic](https://). The controller collects data from sensors, compares it with the desired setpoints, and adjusts the control inputs to minimize any deviation.
