Machine Learning for Optimal Control of a Hydrogen Gas Reformer Used in a PEM Fuel Cell.
Verica Radisavljevic-GajicPublished in: ACIT (2023)
Keyphrases
- optimal control
- fuel cell
- machine learning
- control problems
- reinforcement learning
- dynamic programming
- fault detection
- feedback control
- genetic algorithm
- control strategy
- class of nonlinear systems
- risk sensitive
- optimal control problems
- infinite horizon
- data mining
- control law
- lyapunov function
- steady state
- brownian motion
- learning algorithm
- stochastic control
- mathematical model
- fault diagnosis
- rough sets
- computational intelligence
- supply chain
- artificial intelligence
- linear quadratic