The compound iterative algorithm for rational models based on the Coyote optimisation algorithm

This article proposes a Coyote Optimisation Compound Iterative Algorithm (CO-CIA) for rational models. Particularly, the parameters in the numerator and denominator of rational models make the derivative equation hard to solve. To deal with this problem, the Coyote Optimisation Algorithm (COA) is applied to estimate the parameters in the denominator. Compared with the Bias Compensation-based Least Squares (BCLS) algorithm and the Particle Swarm Optimisation Compound Iterative Algorithm (PSO-CIA), the proposed method has higher accuracy and faster convergence rates. Finally, a simulation example is utilised to verify the effectiveness of the proposed algorithm.