首页 | 本学科首页   官方微博 | 高级检索  
     检索      

双线性工业过程稳态模型辨识新方法
引用本文:刘知贵,黄正良,蒲洁,张霜.双线性工业过程稳态模型辨识新方法[J].电子科技大学学报(社会科学版),2004(1).
作者姓名:刘知贵  黄正良  蒲洁  张霜
作者单位:西南交通大学计算机与通信工程学院 成都610031 (刘知贵,黄正良),西南科技大学网络学院管理学院 四川绵阳621002 (蒲洁),西南科技大学网络学院管理学院 四川绵阳621002(张霜)
基金项目:国家自然科学基金资助项目(69674003)
摘    要:针对双线性模型描述的工业过程的优化控制的稳态模型建立须在人为干扰很小的条件下进行,提出了利用优化过程中设定点的阶跃信号作为输入信息,在Fi为可逆矩阵的假设下,获取其稳态模型的辨识方法。该方法新颖、简洁、精度高、对生产过程干扰少,仿真结果显示了方法的有效性和实用性。

关 键 词:双线性  辨识  稳态模型  阶跃信号

A New Identification Technique of Steady-State Models for Bilinear Industrial Processes
Liu Zhigui,Huang Zhengliang,Pu Jie,Zhang Shuang.A New Identification Technique of Steady-State Models for Bilinear Industrial Processes[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2004(1).
Authors:Liu Zhigui  Huang Zhengliang  Pu Jie  Zhang Shuang
Institution:1.School of Computer and Communication Engineering Southwest JiaoTong University Chengdu 610031; 2.Southwest University of Science and Technology Network College School of Humanities & Social Science Sichuan Mianyang 621002
Abstract: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.
Keywords:bilinear  identification  steady-stay model  step signals
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号