Model order reduction Model order reduction is a significant method employed to reduce complex control system models keeping needed dynamic behaviour. This research paper discusses the concept and the effectiveness of model order reduction techniques on the basis of available literature and mathematical models. Dominating pole approximation is used to obtain a lower-order system by analysing a high-order transfer function model and reducing it. The findings display that reduced-order models can sustain stability and realistic system response and at the same time greatly minimize the calculation complexity.