Circuit Optimization Study According to the Maximum Principle

A. Zemliak
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Abstract

The minimization of the processor time of designing can be formulated as a problem of time minimization for transitional process of dynamic system. A special control vector that changes the internal structure of the equations of optimization procedure serves as a principal tool for searching the best strategies with the minimal CPU time. In this case a well-known maximum principle of Pontryagin is the best theoretical approach for finding of the optimum structure of control vector. Practical approach for realization of the maximum principle is based on the analysis of behavior of a Hamiltonian for various strategies of optimization. The possibility of applying the maximum principle to the problem of optimization of electronic circuits is analyzed. It is shown that in spite of the fact that the problem of optimization is formulated as a nonlinear task, and the maximum principle in this case isn't a sufficient condition for obtaining a minimum of the functional, it is possible to obtain the decision in the form of local minima. The relative acceleration of the CPU time for the best strategy found by means of maximum principle compared with the traditional approach is equal two to three orders of magnitude.
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基于最大值原理的电路优化研究
设计过程中处理器时间的最小化可以表述为动态系统过渡过程的时间最小化问题。一个改变优化过程方程内部结构的特殊控制向量是用最少CPU时间搜索最佳策略的主要工具。在这种情况下,众所周知的庞特里亚金极大值原理是寻找控制向量最优结构的最佳理论方法。实现极大值原理的实用方法是基于对各种优化策略的哈密顿量的行为分析。分析了将极大值原理应用于电子电路优化问题的可能性。结果表明,尽管优化问题是一个非线性问题,且这种情况下的极大值原理不是得到泛函最小值的充分条件,但仍有可能以局部极小值的形式得到决策。与传统方法相比,利用最大原则找到的最佳策略的CPU时间相对加速幅度为2 ~ 3个数量级。
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