-tracking design for uncertain Takagi-Sugeno fuzzy systems with unknown premise variables using descriptor redundancy approach.
Mohammad Hassan AsemaniVahid Johari MajdPublished in: Int. J. Syst. Sci. (2015)
Keyphrases
- fuzzy systems
- takagi sugeno
- fuzzy model
- controller design
- nonlinear systems
- soft computing
- fuzzy control
- evolutionary computation
- neuro fuzzy
- neural network
- fuzzy rules
- fuzzy inference system
- robust stability
- fuzzy modeling
- artificial neural networks
- computational intelligence
- rule base
- transfer function
- data analysis
- fuzzy rule based systems
- real time
- dynamic model
- fuzzy controller
- learning rate
- experimental data
- computer simulation
- fuzzy sets