Control synthesis of Roesser type discrete-time 2-D T-S fuzzy systems via a multi-instant fuzzy state-feedback control scheme.
Xiangpeng XieZhi-Wen ZhangSonglin HuPublished in: Neurocomputing (2015)
Keyphrases
- fuzzy systems
- feedback controller
- control scheme
- takagi sugeno
- fuzzy controller
- controller design
- control system
- fuzzy rules
- control strategy
- nonlinear systems
- fuzzy control
- fuzzy logic controller
- fuzzy model
- closed loop
- predictive control
- control loop
- inverted pendulum
- computational intelligence
- evolutionary computation
- robot manipulators
- soft computing
- pi controller
- neural network
- robotic manipulator
- control law
- rule base
- pi control
- adaptive fuzzy
- neural network controller
- fuzzy logic
- neural fuzzy
- induction motor
- pid control
- t norm
- dynamic model
- membership functions
- fault tolerant control
- fuzzy inference system
- control method
- control algorithm
- fuzzy rule based systems
- sliding mode
- fuzzy partition
- feedback control
- fuzzy neural network
- fuzzy sets
- tracking error
- optimal control
- fuzzy modeling
- artificial neural networks
- input output
- neuro fuzzy
- fuzzy classifier
- mathematical model
- variable structure
- adaptive neural
- matlab simulink
- evolutionary algorithm
- knowledge base