Analog Integrated Circuits and Signal Processing - Special issue on computer-aided design of analog circuits and systems
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
Optimal adaptive fuzzy control for a class of unknown nonlinear systems
WSEAS Transactions on Systems and Control
WSEAS Transactions on Circuits and Systems
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
A Genetic Algorithm-Based Multiobjective Optimization for Analog Circuit Design
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
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The aim of his paper is to present some applications of fuzzy techniques in the optimization-based design of analog circuits. Our approach turns into profit the advantages offered by different fuzzy techniques. Fuzzy systems or fuzzy sets are involved in every algorithm phase. The optimization problem formulation is accomplished in a flexible manner using fuzzy sets to define fuzzy optimization objectives. Also, the initial guess of design parameters is based on matching degrees determined with fuzzy sets. The optimization engines use fuzzy systems to compute the coefficients to modify the design parameters in each iteration. In order to reduce the time spent for circuit performance evaluation, we use a fuzzy system to model each circuit performance. Two computer-aided design tools, at the cell level are developed in Matlab. A large collection of experimental results proves the validity of our approach. Different 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.