Nowadays, real-time applications of Fuzzy Logic in different domains are being increasingly reported. ASIC-based analog hardware becomes an interesting solution for these kinds of applications because it benefits from: savings on silicon surface and power consumption, readily accomplishment with strict timing constraints and cost-effective production. This book focuses in-depth on the VLSI CMOS implementation and application of programmable analog Fuzzy Logic Controllers following a mixed-signal philosophy. This is to say, signals are processed in the analog domain whereas programmability is achieved by means of standard digital memories.
This approach highlights the following crucial aspects:
*The comprehensive study and analysis of the main analog fuzzy operators: Fuzzy Membership Functions, T-Norm, T-CoNorm and Defuzzifier circuits.
*The study and development of mixed-signal Fuzzy Controllers architectures targeting the requirements for different applications.
*The fabrication and test of full-ended demonstrators.
*The partial fabrication and test of a prototype corresponding to a real-time Fuzzy Logic application in the field of Signal Processing.
Text covers the implementation, test and application of programmable and reconfigurable Analog Fuzzy Logic Controllers in standard CMOS technologies. Addresses the analysis and design of basic analog building blocks, and undertakes a real-time application of Fuzzy Logic. Material is taken from the author's first Ph.D thesis, and is addressed to researchers and students.
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.
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).
