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.