模拟电路优化问题的一些特殊函数分析

Alexander Zemliak
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引用次数: 0

摘要

提出了一种优化模拟电路的广义方法的进一步发展。该方法以最优控制理论为基础。我们将优化电路所需的CPU时间最小化问题转化为最优控制理论中的经典函数最小化问题。在这种情况下,我们将模拟电路的优化过程表示为受控动态系统。为了分析这类系统的性质,我们建议使用动力系统的李雅普诺夫函数的概念。新的特殊功能允许我们通过分析过程初始部分的特性来预测电路优化的CPU时间。已经确定,对于任何优化策略,这些函数的行为与这些策略对应的CPU时间之间存在相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Some Special Functions for a Problem of Optimization of Analog Circuits
Further development of a generalized methodology for optimizing analog circuits is proposed. This methodology is based on the theory of optimal control. We have transformed the problem of minimizing the CPU time needed to optimize the circuit into the classical problem of minimizing the function in optimal control theory. In this case, we represent the process of optimizing the analog circuit as a controlled dynamic system. To analyze the properties of such a system, we propose to use the concept of the Lyapunov function of a dynamical system. The new special functions allow us to predict the CPU time for circuit optimization by analyzing the characteristics of the initial part of the process. It has been established that for any optimization strategy, there is a correlation between the behavior of these functions and the CPU time corresponding to these strategies.
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