MAELSTROM: efficient simulation-based synthesis for custom analog cells
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
DATE '00 Proceedings of the conference on Design, automation and test in Europe
Analysis and Design of Analog Integrated Circuits
Analysis and Design of Analog Integrated Circuits
The sizing rules method for analog integrated circuit design
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
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
Worst-case analysis and optimization of VLSI circuit performances
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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The ever increasing pace of analog IC design demands efficient means of automated design and optimization. Especially important is robust design. Its goal is to produce circuits whose behaviour stays within some predefined range when the manufacturing process variations and envi-ronmental effects remain bounded. Most of the design process is still handled by IC designers manually. We present a simple mathematical formulation of the robust design and optimization problem and its transformation into a constrained optimization problem by means of penalty functions. We illustrate the method on a robust differential amplifier design problem. The resulting circuits show that a computer not only can improve circuits designed by humans, but is also capable of designing a circuit with very little initial knowledge. Optimization runs resulted in circuits with similar or even better performance when compared to humanly designed circuits. The method can take advantage of parallel processing, but is still efficient enough to be run on a single computer.