间歇生产过程的R调节学习控制

针对间歇生产过程迭代学习控制难以进行跟踪性能分析的难题,本文提出一种变R调节迭代学习控制算法,借鉴经典控制理论定义有界跟踪和零跟踪概念.以此研究能够让系统输出误差达到零跟踪的迭代学习控制策略,并严格地证明了算法的性能,得出可以通过调节权值R使过程产品质量的误差收敛到与模型精度相关联的有界区域的结论,为相关理论结果实施于实际间歇过程提供了理论依据.     

Robust tracking and model following of uncertain dynamic systems via discrete-time integral sliding mode control

A discrete-time integral sliding mode control scheme is proposed to realize the problem of robust tracking and modeling following for a class of uncertain linear systems. It will be shown that the proposed scheme guarantees the stability of closed-loop system and achieves zero-tracking error in the presence of parameter uncertainties and external disturbances. The selection of switching surface and the existence of sliding mode are two important issues, which have been addressed. This scheme assures robustness against system uncertainties and disturbances. Chattering phenomenon and reaching phase are eliminated. Moreover, the knowledge of upper bound of uncertainties is not required. Both the theoretical analysis and illustrative example demonstrate the validity of the proposed scheme. Recommended by Editorial Board member Ju Hyun Park under the direction of Editor Young IL Lee. Ming-Chang Pai received the M.S. and Ph.D. degrees in Mechanical Engineering in 1994 and 1998 from Pennsylvania State University, State College, P.A.. He is currently an Associate Professor in the Department of Automation Engineering at Nan-Kai University of Technology. His research interests are in mechatronics, robots, robust control and nonlinear control.     

基于自适应子空间估计的DOA跟踪算法

运用特征子空间类高分辨方法的关键在于信号或噪声子空间的估计。实际上有些信号的统计特性通常随时间变化，为了得到参数的实时估计值，需要随时根据新的阵列接收数据对信号或噪声子空间进行更新?文中分析了一种自适应子空间估计算法，即MALASE(Maximum Likelihood Adaptive Subspaee Estimation)算法然后，把MALASE算法与最小范数(Mini—Norm)高分辨方位计算法相结合．并应用零点跟踪技术，提出了一种自适应Mini—Norm算法，可用于对时变的信号波达方向(DOA)进行跟踪估计。仿真结果验证了该算法具有较好的跟踪性能。     

自动置零和零点跟踪功能试验中的状态和处置

现代科学技术在称重领域的广泛应用给衡器的评价试验与设计研发带来了许多崭新的课题，自动置零和零点跟踪功能成为了电子衡器设计与试验的基础，本文试从理论和实践两个方面做些简要分析。