Order Simplification of LTI Systems using Enhanced Pole Clustering Technique

This paper proposes a novel, enhanced pole clustering (EPC) method for simplifying complex linear-time invariant (LTI) systems. In the presented technique, the grey wolf optimizer (GWO) is adopted to derive the numerator polynomial of the reduced-order model (ROM) by minimizing the integral squared error (ISE). The proposed technique assures the stability of the resulting ROM. A comparison of different performance indices is conducted to establish the effectiveness of the proposed model order reduction (MOR) method.