Colliding bodies optimization-based approximants of linear-time invariant continuous-time systems

This paper presents a novel hybrid model reduction technique for large-scale continuous-time systems using colliding bodies optimization algorithm (CBOA). The proposed method ensures the stability of the reduced-order approximant as the stability equations are incorporated along with CBOA. Two case studies establish the efficacy of the proposed method. An extensive comparative analysis of the dynamic responses and performance indices is also shown, confirming the supremacy of the presented method over the existing methods.