Process Modeling,Simulation and Control for Chemical Engineers
Process Modeling,Simulation and Control for Chemical Engineers
How good are fuzzy If-Then classifiers?
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stability issues on Takagi-Sugeno fuzzy model-parametric approach
IEEE Transactions on Fuzzy Systems
GA-fuzzy modeling and classification: complexity and performance
IEEE Transactions on Fuzzy Systems
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A long-range model-based predictive control algorithm which is based on the Takagi-Sugeno-Kang piece-wise linear fuzzy modelling approach is proposed. A non-linear multivariable chemical processes represented by a binary distillation column is used as a test-bed for a series of experiments, results of which suggest that the controller performs better than the long-range predictive control algorithm which is based on a linear modelling approach, in terms of effective set-point tracking and interactions handling.