-tracking control design for T-S fuzzy systems with partly immeasurable premise variables.
Jiuxiang DongShixin WangPublished in: J. Frankl. Inst. (2017)
Keyphrases
- fuzzy systems
- nonlinear systems
- tracking control
- fuzzy model
- takagi sugeno
- controller design
- fuzzy rules
- evolutionary computation
- soft computing
- neural network
- artificial neural networks
- computational intelligence
- adaptive neural
- fuzzy controller
- fuzzy control
- evolutionary algorithm
- stability analysis
- rule base
- fuzzy modeling
- artificial intelligence
- sufficient conditions
- design procedure