Fuzzy Logic, Identification and Predictive Control

• Main Authors: Espinosa, Jairo (Author), Vandewalle, Joos (Author), Wertz, Vincent (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2005.
• Series: Advances in Industrial Control,
• Subjects: Engineering.; Information storage and retrieval.; Artificial intelligence.; Complexity, Computational.; Control engineering.; Electrical engineering.; Electrical Engineering.; Information Storage and Retrieval.; Artificial Intelligence (incl. Robotics).; Control.; Complexity.

The complexity and sensitivity of modern industrial processes and systems increasingly require adaptable advanced control protocols. These controllers have to be able to deal with circumstances demanding "judgement" rather than simple "yes/no", "on/off" responses, circu...

Table of Contents:

• Fuzzy Modeling
• Fuzzy Modeling
• Constructing Fuzzy Models from Input-Output Data
• Fuzzy Modeling with Linguistic Integrity: A Tool for Data Mining
• Nonlinear Identification Using Fuzzy Models
• Fuzzy Control
• Fuzzy Control
• Predictive Control Based on Fuzzy Models
• Robust Nonlinear Predictive Control Using Fuzzy Models
• Conclusions and Future Perspectives.