Physics-Informed Neural Networks-based Uncertainty Identification and Control for Closed-Loop Attitude Dynamics of Reentry Vehicles.
Ruizhe YuanZongyi GuoShiyuan CaoDavid HenryJérôme CieslakTiago Roux OliveiraJianguo GuoPublished in: ICCA (2024)
Keyphrases
- closed loop
- open loop
- control system
- external disturbances
- parameter identification
- neural network
- feedback control
- control law
- tracking error
- control loop
- guaranteed cost
- disturbance rejection
- feedback controller
- control scheme
- trajectory tracking
- adaptive fuzzy
- induction motor
- parameter uncertainties
- nonlinear dynamics
- reference trajectory
- control theory
- fuzzy logic
- force control
- pid controller
- inverted pendulum
- control algorithm
- real time
- radial basis function neural network
- control strategy
- feed forward
- sliding mode control
- control method
- adaptive neural
- linear quadratic
- neural network controller
- reinforcement learning
- asymptotic stability
- fuzzy systems
- mobile robot
- nonlinear systems
- process control
- back propagation
- dynamical systems
- fuzzy controller
- dynamic model
- flight test
- variable structure
- networked control systems
- fault diagnosis
- controller design
- visual servoing