Fuzzy-Logic-Based Analog Design Tools
IEEE Micro
Support vector machines for analog circuit performance representation
Proceedings of the 40th annual Design Automation Conference
Automatic Synthesis of CMOS Operational Amplifiers: A Fuzzy Optimization Approach
ASP-DAC '02 Proceedings of the 2002 Asia and South Pacific Design Automation Conference
Performance Modeling of Analog Integrated Circuits Using Least-Squares Support Vector Machines
Proceedings of the conference on Design, automation and test in Europe - Volume 1
EH '05 Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware
Proceedings of the 43rd annual Design Automation Conference
IEEE Transactions on Evolutionary Computation
Application of fuzzy logic in computer-aided VLSI design
IEEE Transactions on Fuzzy Systems
FASY: a fuzzy-logic based tool for analog synthesis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Anaconda: simulation-based synthesis of analog circuits via stochastic pattern search
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Optimal design of a CMOS op-amp via geometric programming
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
FPAD: a fuzzy nonlinear programming approach to analog circuit design
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Water flows' management system at the secondary cooling in the continuous steel casting process
WSEAS Transactions on Systems and Control
ICOSSSE'08 Proceedings of the 7th WSEAS international conference on System science and simulation in engineering
Hi-index | 0.00 |
Cell-level analog circuit design is a very challenging task for several reasons: the design problem is usually underconstrained with many degrees of freedom, most analog modules require a custom optimized design, the performance requirements must be traded off as they usually are competing design objectives, to encounter the most important ones. This paper presents some applications of fuzzy techniques in the design of analog modules. Our research direction turns into account the opportunities offered by fuzzy techniques in the optimization-based design of analog circuits field. In our approach, all the phases of the optimization process involve fuzzy methods. Fuzzy sets are involved in the formulation of the optimization objectives and in the initial guess of the design parameters, while some fuzzy systems address the performance evaluation issues (evaluation engine) and new parameter values computation (optimization engine). Two CAD tools at the cell level were developed in Matlab. The operation of these CAD tools is validated by a large collection of experimental results. Basic analog modules as simple transconductance operational amplifier, Miller operational transconductance amplifier, and common-emitter stage were designed for several sets of design requirements with very good results.