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Advances in Analog Circuits Part 13

Tham khảo tài liệu 'advances in analog circuits part 13', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Evolvable Metaheuristics on Circuit Design 349 2. Optimization algorithm Actual trends in VLSI technology are towards integration of mixed analog-digital circuits as a complete system-on-a-chip. Most of the knowledge intensive and challenging design effort spent in such systems design is due to the analog building blocks Balkir et al. 2004 . Analog design has been traditionally a difficult discipline of integrated circuits IC design. In circuit design optimization a circuit and its performance specifications are given and the goal is to automatically determine the device sizes in order to meet the given performance specifications while minimizing a cost function such as a weighted sum of the active area or power dissipation Baghini et al. 2007 . This is a difficult and critical step for several reasons 1 most analog circuits require a custom optimized design 2 the design problem is typically under constrained with many degrees of freedom and 3 it is common that many often conflicting performance requirements must to be taken into account and tradeoffs must be made that satisfy the designer Rutenbar et al. 2007 . Fuzzy techniques have been successfully applied in a variety of fields such as automatic control data classification decision analysis expert systems computer vision multi-criteria evaluation genetic algorithms ant colony systems optimization etc. Works showing the possibility of application of fuzzy logic in computer aided design CAD of electronic circuits started to appear in late 1980s and early 1990s. An argument for fuzzy logic application in CAD is derived from the nature of the algorithm used for solving design problems. The majority of algorithms for synthesis use heuristics that are based on human knowledge acquired through experience and understanding of problems. Another important source of knowledge is numerical data. Fuzzy logic systems are appropriate in such situations because they are able to deal simultaneously with both types of .