Order Reduction of Linear Time Invariant Systems Using Genetic Algorithm

Soumya Shastry, P. Dewangan
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Abstract

This paper discusses about order reduction of linear time invariant (LTI) systems based on error minimization by Genetic algorithm. The coefficients of the state space modelmatrices of reduced dimensions are obtained by the proposed method. The reduction procedure is simple and computer oriented. An example system is considered to show the efficacy of the proposed method. The step responses of the higher order system and its models, and validation parameters areused for performance comparison. The results obtained confirm the superiority of the proposed technique.
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线性时不变系统的遗传降阶算法
本文讨论了基于遗传算法的误差最小化线性时不变系统的降阶问题。利用该方法得到了降维状态空间模型矩阵的系数。还原程序简单,面向计算机。最后通过实例验证了所提方法的有效性。利用高阶系统及其模型的阶跃响应和验证参数进行性能比较。实验结果证实了该方法的优越性。
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