Robust H∞ and L∞-L∞ sampled-data fuzzy static output-feedback controllers in Takagi-Sugeno form for singularly perturbed nonlinear systems with parametric uncertainty.
Ji Hyun MoonHyoung Bin KangHo Jae LeePublished in: J. Frankl. Inst. (2020)
Keyphrases
- takagi sugeno
- nonlinear systems
- controller design
- parallel distributed compensation
- fuzzy model
- sampled data
- fuzzy systems
- tracking control
- fuzzy control
- control law
- fuzzy controller
- adaptive control
- fuzzy modeling
- robust stability
- control system
- membership functions
- lyapunov function
- original data
- fuzzy sets
- fuzzy inference
- input output
- learning rate
- control method
- fuzzy rules
- control strategy
- closed loop
- control algorithm
- fuzzy logic
- fuzzy inference system
- fuzzy clustering
- computational intelligence
- rule base
- neural network
- pattern recognition
- linear matrix inequality
- neuro fuzzy
- control scheme
- dynamical systems
- evolutionary computation
- control strategies
- evolutionary algorithm
- genetic algorithm