A novel strategy for order abatement based on parameter estimation

The concept of order abatement is unceasingly gaining attention of researchers in various fields of engineering such as electrical, electronics and electromechanical, etc. Therefore, motivated by various optimization techniques, a novel strategy is proposed in this study for order abatement of large scale linear time-invariant (LTI) systems. In this proposed strategy the unknown parameters of abated/reduced order system of large scale LTI systems are achieved by Bonobo Optimizer (BO) approach. This approach is motivated by both the social behaviour as well as reproductive strategies of Bonobos. The natural behaviour of bonobos have been artificially modelled by the proposed algorithm for solving the optimization problem of order abatement. In order to validate the effectiveness of the proposed strategy, five different test systems from literature have been considered. The powerfulness of the proposed strategy is observed by time and frequency responses of large scale and abated order LTI system. Additionally, it reveals that the results obtained by the proposed strategy are comparable with other well-known techniques available in the literature in terms of various performance indices.