Assessing the finite-time stability of nonlinear systems by means of physics-informed neural networks.
Adriano MeleAlfredo PirontiPublished in: Syst. Control. Lett. (2023)
Keyphrases
- nonlinear systems
- stability analysis
- lyapunov function
- fuzzy systems
- neural network
- nonlinear dynamic systems
- fault tolerant control
- fuzzy model
- adaptive neural
- adaptive control
- controller design
- fuzzy control
- tracking control
- control law
- fuzzy controller
- adaptive fuzzy
- learning rate
- computational intelligence
- artificial neural networks
- rule base
- nonlinear functions
- fuzzy rules
- soft computing
- pattern recognition
- tracking error
- adaptive neural control
- optimal control
- closed loop
- evolutionary computation
- back propagation
- artificial intelligence
- control method
- control strategy
- recurrent neural networks
- convergence rate
- fuzzy sets
- state space
- reinforcement learning
- genetic algorithm
- data mining