摘要
针对大工业过程 ,利用优化过程中设定点的阶跃信号。采用分散辨识的方法 ,获得了大工业过程的稳态模型 ,并给出了其可辨识的充分条件。同传统的辨识方法相比 ,该技术具有精度高 ,计算简单 ,信息传递量少以及对系统干扰小等特点。
In this paper, a decentralized identification technique is presented, which can only use step signals as input signals and implement the identification of every subprocess in corresponding to the local unit. To compare with the other methods, the technique is simpler and more accurate. Simulation results show that the proposed technique is very efficient and practical.
出处
《西南工学院学报》
2002年第2期14-19,共6页
Journal of Southwest China Institute of Technology
关键词
稳态模型
大工业过程
分散辨识
阶跃信号
nonlinear
steady-state models
decentralized identif ication
step signals.