In the last years, the astonishing growth of the Japanese industry in
producing a substantial number of consumer appliances using Fuzzy
Controllers put Fuzzy Logic on the focus of the scientific community. At the
beginning, the most popular applications of Fuzzy Logic were found in the
domain of Control System. Nowadays, the application of this soft-computing
technique has been extended to other fields such as Signal Processing, Image
Processing and Switching Power Control, for instance. As real-time
applications need ever faster, more autonomous and less power-consuming
circuits the choice of on-chip controllers becomes an interesting option. The
attractiveness of analog circuits for implementing Fuzzy hardware relies on
its natural compatibility with most used Fuzzy algorithms and the
needlessness of A/D and D/A converters for interfacing sensors and
actuators.
This book deals with the implementation, test and application of
programmable and reconfigurable Analog Fuzzy Logic Controllers in
standard CMOS technologies in three fundamental stages.
In the first part, the analysis and design of basic analog building blocks
have been addressed. Main topics concerning their accuracy,
programmability, interfacing and VLSI compatibility for CMOS
implementation have been focused. Some novel circuits are presented while
others are optimized towards an improved behavior.
The second part comprises the implementation and test of programmable
and reconfigurable mixed-signal architectures being capable of emulating
Zero and First-Order Takagi-Sugeno algorithms. In the realized prototypes,
signal processing is carried out in the analog domain whereas the system
parameters and configuration are digitally programmable. The applied
testing strategy was oriented to characterize the DC and transient behaviors
of the controllers as well as the statistic spreading between samples.
Finally, in the third part, a real-time application of Fuzzy Logic is
undertaken in the Analog Signal Processing field: a knowledge-based
technique for time-domain signal analysis is discussed. The general idea
consists in building an "on-chip oscilloscope", which, based on Fuzzy Logic,
could infer assertions that can be used for adaptation, testing, detection, etc.
This technique has been used in a digital equalization system based on the
Eye Pattern. For this purpose, a preliminary prototype comprising the Fuzzy
Controller and the equalizing filter has been fabricated and tested whereas
the methodology has been validated by simulations for cable equalization.
This book results from the first author's PhD thesis. It is mainly
addressed to researchers, undergraduate and postgraduate students working
in the field of analog VLSI implementation of Fuzzy Systems and their
applications. However, the analysis and synthesis of the circuits presented
herein is wide-ranging. Their use exceeds the topic of Fuzzy Logic since
they can also be employed in other kind of applications in the field of
Analog Signal Processing (i.e. Neural Networks, Non-Linear and Linear
Adaptive Filtering, Analog Computation, etc). |
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发表于 2007-11-7 20:01:16
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