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.