Adaptive-state feedback control for Lipschitz nonlinear systems in reciprocal-state space: Design and experimental results.
Assem ThabetPublished in: J. Syst. Control. Eng. (2019)
Keyphrases
- adaptive control
- nonlinear systems
- feedback control
- state space
- adaptive fuzzy
- controller design
- control method
- reinforcement learning
- inverted pendulum
- stability analysis
- state variables
- tracking control
- control law
- dynamic environments
- closed loop
- adaptive neural
- fuzzy control
- optimal control
- adaptive neural control
- input output
- dynamic programming
- fuzzy model
- particle filter
- mobile robot
- artificial neural networks
- tracking error
- manufacturing systems
- dynamical systems
- experimental data
- mathematical model
- lyapunov function
- decision making
- learning algorithm