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State and parameter estimation of CSTR using joint-UKF

机译:使用联合UKF估计CSTR的状态和参数

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In many of nonlinear chemical processes, EKF algorithm has been widely used. This algorithm is not suitable for severe nonlinear dynamics. Recently UKF is preferred. UKF has more accurate approximation, but still is not suitable for time varying dynamics. To overcome this deficiency, a nonlinear joint (state and parameter) estimation algorithm based UKF is presented, which is called as Joint-UKF. Joint-UKF, Dual-EKF, Joint-UKF are applied to a CSTR with cooling jacket in which the production of propylene glycol happens and the results of simulation are evaluated.
机译:在许多非线性化学过程中,EKF算法已被广泛使用。该算法不适用于严重的非线性动力学。最近,UKF是首选。 UKF具有更精确的近似值,但仍然不适用于时变动力学。为了克服这一缺陷,提出了一种基于UKF的非线性联合(状态和参数)估计算法,称为Joint-UKF。 Joint-UKF,Dual-EKF,Joint-UKF用于带有冷却套的CSTR,其中发生了丙二醇的生产,并评估了模拟结果。

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