A New Identification Technique of Steady-State Models for Bilinear Industrial Processes

It is very key to build the steady-state models of the industrial processes. Using the step signals of set-points changes in the course of optimizing control as the input signals to identifying the steady-state models is good identification technique and reduces the disturbed to the processes. In this paper, a new identification technique to obtain the steady-state models is presented for the bilinear industrial processes. which uses the step signals of set-points changes in the course of optimizing control as the input step signals to identifying the steady-state models of industrial processes described by bilinear models,is presented.The novel technique is simple,high identification accurate and less disturb to the industrial processes.Finally,the simulation results show that the new approach is very efficient and practical.