Mean performance optimization of analog integrated circuits via expectation-based stochastic programming

Kan-Lin Hsiung
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Abstract

In this paper we propose to formulate the mean performance optimization of analog ICs as an expectation-based stochastic program, which can be further approximated as a more tractable optimization problem that interior-point methods can efficiently solve. Using such stochastic optimization approach, we can obtain statistical analog circuit designs with optimized mean performance. A ring oscillator design is given to demonstrate the method
基于期望的随机规划模拟集成电路的平均性能优化
在本文中,我们提出将模拟集成电路的平均性能优化表述为一个基于期望的随机程序,这可以进一步近似为一个更易于处理的优化问题,内点方法可以有效地解决。利用这种随机优化方法,我们可以得到平均性能最优的统计模拟电路设计。最后以环形振荡器的设计为例进行了验证
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