Marine Predators Algorithm Based Stable Approximants Of Linear-Time Invariant Continuous-Time Systems

Abstract

In this article, a novel amalgamated model reduction method is proposed to simplify complex continuous-time systems using the Marine predators optimization algorithm (MPOA). The suggested approach guarantees the stability of the approximant since the stability equation approach is assimilated with MPOA. To prove the efficacy of the proposed method two case studies are considered. Additionally, this study includes a comparative examination of the dynamic responses and performance indices to support the superiority of the proposed method in comparison to existing approaches.