Continuous reinforcement learning to robust fault tolerant control for a class of unknown nonlinear systems

- Proposing two robust adaptive FTC systems based on machine learning approaches.
- Presenting adaptation laws in the sense of the proposed Lyapunov function.
- Using an intelligent observer for unknown nonlinear systems in presence of faults.
- Adapting the critic and actor of continuous RL based on the Lyapunov function.