Advanced Fuzzy Logic Technologies in Industrial Applications

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bai, Ying (Editor), Zhuang, Hanqi (Editor), Wang, Dali (Editor)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2006.
• Series: Advances in Industrial Control,
• Subjects: Engineering.; Artificial intelligence.; Pattern recognition.; Automotive engineering.; Control engineering.; Robotics.; Mechatronics.; Biomedical engineering.; Control.; Artificial Intelligence (incl. Robotics).; Control, Robotics, Mechatronics.; Pattern Recognition.; Automotive Engineering.; Biomedical Engineering.

The ability of fuzzy systems to provide shades of gray between "on or off" and "yes or no" is ideally suited to many of today’s complex industrial control systems. The static fuzzy systems usually discussed in this context fail to take account of inputs outside a pre-set range an...