【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。更多还原

【Abstract】 In this paper, under the mild conditious that the only exciting signal isusual step change of system set point in the optimization procedure, by use ofthe simple weighted Ieast-squares estimation method and approximate model,utilizing the dynamic information of industrial process fully, the consistencyof 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 isable to give out the strong consistent estimate of steady-state model of the linearslow time-varying industrial process.更多还原