An LMI approach to dissipativity-based control of nonlinear systems.
Erfan BahmaniMehdi RahmaniPublished in: J. Frankl. Inst. (2020)
Keyphrases
- nonlinear systems
- fuzzy control
- adaptive control
- takagi sugeno
- tracking control
- controller design
- fuzzy systems
- inverted pendulum
- fuzzy model
- adaptive neural
- control method
- control system
- adaptive fuzzy
- fuzzy controller
- control law
- fault tolerant control
- stability analysis
- lyapunov function
- lyapunov stability
- adaptive neural control
- learning rate
- control strategy
- parallel distributed compensation
- tracking error
- fuzzy rules
- dead zone
- closed loop
- control problems
- input output
- rule base
- artificial intelligence
- control algorithm
- sliding mode control
- linear matrix inequality
- membership functions
- evolutionary computation
- neuro fuzzy
- optimal control
- dynamic environments
- fuzzy logic controller
- genetic programming
- fuzzy logic
- convergence rate
- mobile robot
- artificial neural networks
- neural network
- reinforcement learning
- control scheme