Fuzzy Hardware: Architectures and Applications
Abraham Kandel · Gideon Langholz
2012 оны 12-р сар · Springer Science & Business Media
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422
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Fuzzy hardware developments have been a major force driving the applications of fuzzy set theory and fuzzy logic in both science and engineering. This volume provides the reader with a comprehensive up-to-date look at recent works describing new innovative developments of fuzzy hardware.
An important research trend is the design of improved fuzzy hardware. There is an increasing interest in both analog and digital implementations of fuzzy controllers in particular and fuzzy systems in general. Specialized analog and digital VLSI implementations of fuzzy systems, in the form of dedicated architectures, aim at the highest implementation efficiency. This particular efficiency is asserted in terms of processing speed and silicon utilization. Processing speed in particular has caught the attention of developers of fuzzy hardware and researchers in the field.
The volume includes detailed material on a variety of fuzzy hardware related topics such as:
An important research trend is the design of improved fuzzy hardware. There is an increasing interest in both analog and digital implementations of fuzzy controllers in particular and fuzzy systems in general. Specialized analog and digital VLSI implementations of fuzzy systems, in the form of dedicated architectures, aim at the highest implementation efficiency. This particular efficiency is asserted in terms of processing speed and silicon utilization. Processing speed in particular has caught the attention of developers of fuzzy hardware and researchers in the field.
The volume includes detailed material on a variety of fuzzy hardware related topics such as:
- Historical review of fuzzy hardware research
- Fuzzy hardware based on encoded trapezoids
- Pulse stream techniques for fuzzy hardware
- Hardware realization of fuzzy neural networks
- Design of analog neuro-fuzzy systems in CMOS digital technologies
- Fuzzy controller synthesis method
- Automatic design of digital and analog neuro-fuzzy controllers
- Electronic implementation of complex controllers
- Silicon compilation of fuzzy hardware systems
- Digital fuzzy hardware processing
- Parallel processor architecture for real-time fuzzy applications
- Fuzzy cellular systems
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