Design and Development of Fuzzy Controllers for MIMO Systems - Sivakumar, R.;Balu, K.
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This work details with the design and development of fuzzy modelling for multi variable process in distillation column. Salient Features Fuzzy modelling of distillation column using Takagi Sugeno model. Design a fuzzy model predictive control (FMPC) for multi variable control of distillation column Optimization of the system with different optimization algorithms Comparison of the results of distillation column controlled with conventional PI controller, Model Predictive Control and FMPC. Development of neural network model for distillation column Design of Adaptive Neuro Fuzzy Interference…mehr

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Produktbeschreibung
This work details with the design and development of fuzzy modelling for multi variable process in distillation column. Salient Features Fuzzy modelling of distillation column using Takagi Sugeno model. Design a fuzzy model predictive control (FMPC) for multi variable control of distillation column Optimization of the system with different optimization algorithms Comparison of the results of distillation column controlled with conventional PI controller, Model Predictive Control and FMPC. Development of neural network model for distillation column Design of Adaptive Neuro Fuzzy Interference System (ANFIS) for distillation column and to control the parameters. Comparison of the results of this system controlled with conventional PI controller, Model Predictive Control and ANFIS
Autorenporträt
Dr. R. Sivakumar PhD, Professor in St. Joseph s College of Engg, Chennai, India. His areas of interest includes Predictive Control, Intelligent Control and Computer based Multivariable Control. Dr K Balu PhD, Professor and Dean in Sri Venkateswara College of Engg, Chennai, India. His areas of interest includes Mathematical Modelling and Control.