Decentralized closed-loop parameter identification for multivariable processes from step responses

作者：Mei, H; Li, SY^*; Cai, WJ; Xiong, Q

来源：Mathematics and Computers in Simulation, 2005, 68(2): 171-192.

DOI：10.1016/j.matcom.2004.12.008

• closed-loop identification
• cross-coupling multivariable processes
• sequential step tests
• least squares method

This paper presents a novel technique for on-line decentralized closed-loop parameter identification of multivariable processes from step responses. Based on simple sequential step tests, the coupled closed-loop n-inputs and n-outputs (n x n) multivariable process is decoupled equivalently into n(2) independent single open-loop processes with an unit step input signal acting on the n(2) transfer functions. By using virtual step response signals, the parameters of each element in the transfer function matrix can be directly identified by the well-developed least squares methods. The significance of the proposed method is that it relaxes most restrictions of existing multivariable process identification methods, it is universally applicable to closed-loop identification for cross-coupling multivariable, processes. Simulation examples are given to show both effectiveness and practicality of the identification method for a wide range of multivariable processes.

• 出版日期2005-4-20
• 单位上海交通大学; 南阳理工学院