# Learning-Based and Adaptive Control

## System Identification and Bayesian Inference
*Discuss data-driven model discovery and uncertainty quantification.*

## Reinforcement Learning Approaches
*Outline RL formulations for efficiency maximization and constraint handling.*

## Fault Tolerance and Adaptive Strategies
*Describe adaptive laws and online parameter updates to mitigate degradation.*

## Case Study: Robust Control under Degradation
*Provide an example of learning-driven control coping with performance decay.*