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An identification method of nonlinear dynamic system is studied in this paper. First, suppose that the original nonlinear dynamic system is described by Hammerstein model. Then, an intermediate model is generated. Next, Parameters of the intermediate model are obtained using a Bacterial Chemotaxis Optimization (BCO) approach. Finally, through the relationships of the parameters of intermediate model...
This paper investigates an identification approach of nonlinear system. Its basic idea of the method adopts a system model composed with classical models so as to change the system structure identification problem into a combinational problem. The hybrid algorithm of bacterial foraging optimization and particle swarm optimization technique is then applied to implement the identification on the system's...
Crystallization process control system is a complex system with time variable parameters. Temperature rising rate requirement in each running stage is deferent. In this paper it is introduced a nonlinear scaling factors fuzzy control scheme, which can tune and optimize the parameters of scaling factors based on genetic algorithm(GA). From the simulation result, it shows that control system has the...
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