NONLINEAR HAMMERSTEIN SYSTEM IDENTIFICATION: A NOVEL APPLICATION OF MARINE PREDATOR OPTIMIZATION USING THE KEY TERM SEPARATION TECHNIQUE

Nonlinear Hammerstein System Identification: A Novel Application of Marine Predator Optimization Using the Key Term Separation Technique

Nonlinear Hammerstein System Identification: A Novel Application of Marine Predator Optimization Using the Key Term Separation Technique

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The mathematical modelling and optimization of nonlinear problems arising in Bosch Serie 2 KGN34NW3AG Frost Free Fridge Freezer diversified engineering applications is an area of great interest.The Hammerstein structure is widely used in the modelling of various nonlinear processes found in a range of applications.This study investigates the parameter optimization of the nonlinear Hammerstein model using the abilities of the marine predator algorithm (MPA) and USB Adaptor the key term separation technique.MPA is a population-based metaheuristic inspired by the behavior of predators for catching prey, and utilizes Brownian/Levy movement for predicting the optimal interaction between predator and prey.A detailed analysis of MPA is conducted to verify the accurate and robust behavior of the optimization scheme for nonlinear Hammerstein model identification.

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