| 利用工业过程动态信息建立稳态模型及其强一致性分析:(MIMO)情形 |
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| 引用本文： | 陈庆新,万百五.利用工业过程动态信息建立稳态模型及其强一致性分析:(MIMO)情形[J].西安交通大学学报,1991(4). |
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| 作者姓名： | 陈庆新 万百五 |
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| 作者单位： | 西安交通大学系统工程研究所
(陈庆新)，西安交通大学系统工程研究所(万百五) |
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| 摘 要： | 本文针对目前工业过程在线稳态优化的理论研究现状,提出了一种在相当弱的条件下,仅仅利用优化过程中设定点例行阶跃变化作为系统激励信号,使用简单最小二乘法和近似动态线性模型,充分运用工业过程的动态信息,得到了系统稳态模型的一致估计之理论证明,并利用数字仿真进一步验证了其方法的有效性。还给出了一种实用的,能强一致估计线性慢时变系统稳态模型的方法。
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| 关 键 词： | 系统辩识 在线优化控制 随机系统 稳态设定点优化 |
STEADY-STATE MODEL ESTABLISHMENT OF INDUSTRIAL PROCESS BY USE OF THE DYNAMIC INFORMATION AND ITS STRONG CONSISTENCY ANALYSIS; (MIMO) CASE |
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| Chen Qingxin,Wan Baiwu Institute of Systems Engineering.STEADY-STATE MODEL ESTABLISHMENT OF INDUSTRIAL PROCESS BY USE OF THE DYNAMIC INFORMATION AND ITS STRONG CONSISTENCY ANALYSIS; (MIMO) CASE[J].Journal of Xi'an Jiaotong University,1991(4). |
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| Authors: | Chen Qingxin Wan Baiwu Institute of Systems Engineering |
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| Institution: | Chen Qingxin;Wan Baiwu Institute of Systems Engineering |
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| Abstract: | In this paper, under the mild conditious that the only exciting signal is
usual step change of system set point in the optimization procedure, by use of
the simple weighted Ieast-squares estimation method and approximate model,
utilizing the dynamic information of industrial process fully, the consistency
of the estimate of steady-state model for a class of slow time-varying linear in-
dustrial processes is obtained. Practical efficiency is shown by digital simulation.
In the end, a pragmatic stage-wise estimation method is presented which is
able to give out the strong consistent estimate of steady-state model of the linear
slow time-varying industrial process. |
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| Keywords: | system identification on-line optimization control stochastic system steady-state set optimization |
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