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The article introduces a novel method for enormous scale linear dynamic systems to minimize the single-input and single-output (SISO) order/multi-inputs and multi-outputs (MIMO) systems order. The coefficients of the numerator(s) is/are estimated using the approach of the Pade approximation approach, while the reduced order denominator polyn. has been determined by using recursive pole array technique. The proposed technique assures the stability of the reduced model, if model of origin form of high-order degree is very stable. The method's validity is demonstrated on the few syst. considering from the exist. literature. The graphical and analytical comparison has been done with the help of MATLAB/Simulink.

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Order Reduction of Linear Dynamic System Using Recursive Pole Array Technique and Pade Approximation

  • 会议论文

  • 发表日期：

    2025年

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  • Deepa Kumari,
  • Kirti Pal,
  • C. B. Vishwakarma

摘要

The article introduces a novel method for enormous scale linear dynamic systems to minimize the single-input and single-output (SISO) order/multi-inputs and multi-outputs (MIMO) systems order. The coefficients of the numerator(s) is/are estimated using the approach of the Pade approximation approach, while the reduced order denominator polyn. has been determined by using recursive pole array technique. The proposed technique assures the stability of the reduced model, if model of origin form of high-order degree is very stable. The method's validity is demonstrated on the few syst. considering from the exist. literature. The graphical and analytical comparison has been done with the help of MATLAB/Simulink.