An adaptive state tracking control scheme for T-S fuzzy models in non-canonical form and with uncertain parameters.
Yuhai HuangRuiyun QiGang TaoPublished in: J. Frankl. Inst. (2014)
Keyphrases
- fuzzy model
- tracking error
- nonlinear systems
- control scheme
- fuzzy controller
- canonical form
- fuzzy modeling
- takagi sugeno
- fuzzy systems
- adaptive fuzzy
- closed loop
- input output
- controller design
- fuzzy control
- external disturbances
- control law
- fuzzy inference system
- initial values
- fuzzy clustering
- fuzzy rules
- control strategy
- control system
- fuzzy sets
- dynamic model
- chaotic systems
- membership functions
- stability analysis
- lyapunov function
- rule base
- robust stability
- real time
- decision making
- control algorithm
- trajectory tracking
- operating conditions
- initial conditions
- computational intelligence
- sliding mode control
- pi controller
- fuzzy neural network
- rewrite rules
- linear matrix inequality
- induction motor
- fuzzy logic controller
- pid controller
- neuro fuzzy
- experimental data
- particle filter
- computer vision
- neural network