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机构地区:[1]School of Automation & Electronic Engineering, Qingdao University of Science & Technology, Qingdao 266042, China [2]Advanced Control Systems Lab, Beijing Jiaotong University, Beijing 100044, China
出 处:《Chinese Journal of Chemical Engineering》2013年第3期271-275,共5页中国化学工程学报(英文版)
基 金:Supported by the National Natural Science Foundation of China (60974040, 61120106009), the Research Award Foundation for the Excellent Youth Scientists of Shandong Province of China (BS2011DX010), and the High School Science & Technol- ogy Fund Planning Project of Shandong Province of China (J 10LG32).
摘 要:This work presents an anticipatory terminal iterative learning control scheme for a class of batch proc- esses, where only the final system output is measurable and the control input is constant in each operations. The propgsed approach works well with input constraints provided that the desired control input with respect to the desired trajectory is within the samratiorl bound. The tracking error convergence is established with rigorous mathe- matical analysis. Simulation results .are provided to showthe effectiveness, of the proposed approach.This work presents an anticipatory terminal iterative learning control scheme for a class of batch processes, where only the final system output is measurable and the control input is constant in each operations. The proposed approach works well with input constraints provided that the desired control input with respect to the desired trajectory is within the saturation bound. The tracking error convergence is established with rigorous mathematical analysis. Simulation results are provided to show the effectiveness of the proposed approach.
关 键 词:"terminal iterative learning control batch-to-batch processes input saturation convergence analysis
分 类 号:TP273.22[自动化与计算机技术—检测技术与自动化装置] TJ765.33[自动化与计算机技术—控制科学与工程]
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