Fuzzy Model Identification for Control
This book presents new approaches to constructing fuzzy models for model-based control. Simulated examples and real-world applications from chemical and process engineering illustrate the main methods and techniques. Supporting MATLAB and Simulink files create a computational platform for exploration of the concepts and algorithms.In Y. Suzuki, S. Ovaska, and T. Furuhashi, editors, Soft Computing in Industrial Applications. Springer, London ... International Journal of Systems Science, 31: 657a667, 2000. ... Chemical Engineering Research and Design, 78:597a604, 2000.
| Title | : | Fuzzy Model Identification for Control |
| Author | : | Janos Abonyi |
| Publisher | : | Springer Science & Business Media - 2012-12-06 |
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