Observer-based fuzzy adaptive event-triggered control for strictly uncertain nonlinear systems with partial state constraints and output dead-zones.
Ming-Rui LiuLi-Bing WuQing-Kun YuNan-Nan ZhaoPublished in: Int. J. Syst. Sci. (2024)
Keyphrases
- nonlinear systems
- adaptive fuzzy
- adaptive control
- adaptive neural
- fuzzy controller
- controller design
- tracking control
- inverted pendulum
- stability analysis
- takagi sugeno
- control method
- fuzzy systems
- fuzzy control
- tracking error
- fuzzy model
- variable structure
- parallel distributed compensation
- robust stability
- lyapunov function
- control law
- feedback control
- sliding mode control
- neural network
- control system
- learning rate
- control algorithm
- membership functions
- fault tolerant control
- adaptive neural control
- control strategy
- fuzzy logic controller
- fuzzy rules
- nonlinear functions
- sliding mode
- artificial intelligence
- closed loop
- pi controller
- lyapunov stability
- reinforcement learning
- fuzzy inference system
- rule base
- soft computing
- evolutionary computation
- input output
- genetic programming
- state space
- mobile robot
- dead zone
- dynamic programming
- decision making