杂志简介:《自动化学报》杂志经新闻出版总署批准,自1963年创刊,国内刊号为11-2109/TP,是一本综合性较强的计算机期刊。该刊是一份月刊,致力于发表计算机领域的高质量原创研究成果、综述及快报。主要栏目:综述、长论文、论文与报告、短文
作者:LihuaXie 刊期:2005年第01期
The problem of state estimation for uncertain systems has attracted a recurring interest in the past decade. In this paper, we shall give an overview on some of the recent development in the area by focusing on the robust H2 (Kaiman) filtering of uncertain discrete-time systems. The robust H2 estimation is concerned ...
作者:DerongLiu 刊期:2005年第01期
This paper introduces a self-learning control approach based on approximate dynamic programming. Dynamic programming was introduced by Bellman in the 1950's for solving optimal control problems of nonlinear dynamical systems. Due to its high computational complexity, the applications of dynamic programming have been ...
作者:JieZhang 刊期:2005年第01期
This paper presents several neural network based modelling, reliable optimal control, and iterative learning control methods for batch processes. In order to overcome the lack of robustness of a single neural network, bootstrap aggregated neural networks are used to build reliable data based empirical models. Apart f...
作者:DuanLi; FucaiQian; PeilinFu 刊期:2005年第01期
This paper summarizes recent progress by the authors in developing two solution frameworks for dual control. The first solution framework considers a class of dual control problems where there exists a parameter uncertainty in the observation equation of the LQG problem. An analytical active dual control law is deriv...
作者:KeminZhou 刊期:2005年第01期
In this paper, we shall summarize a new approach to robust and fault tolerant control proposed recently by the author. This approach is based on a variation of all controller parametrization. This robust and fault-tolerant control design consists of two parts: a nominal performance controller and a robustness control...
作者:S.H.YANG; L.YANG 刊期:2005年第01期
Internet-based process control is becoming new generations of control systems, in which the Internet is used as a platform for global remote monitoring and control. The obvious benefit is to enable global collaboration between operators from geographically dispersed locations, data sharing and data provision for remo...
作者:YiFan; Zhong-PingJiang 刊期:2005年第01期
We present a nonlinear flow control scheme based on a buffer management model with physical constraints. It extends previous result of Pitsillides et al. in [6] by improving the queue length regulation for better service of network traffics. Besides a single node system, we also address the decentralized control of m...
作者:LucyY.Pao 刊期:2005年第01期
Research in control systems, sensor fusion and haptic interfaces is reviewed.
作者:WeiKang; MuminSong; NingXi 刊期:2005年第01期
The paper consists of three topics on control theory and engineering applications, namely bifurcation control, manufacturing planning, and formation control. For each topic, we summarize the control problem to be addressed and some key ideas used in our recent research. Interested readers are referred to related publ...
作者:QingqingWang; Chun-YiSu; YonghongTan 刊期:2005年第01期
The development of control techniques to mitigate the effects of unknown hysteresis preceding with plants has recently re-attracted significant attention. In this paper, we first give a brief review of presently developed hysteresis models and hysteresis compensating control methods.Then, with the use of the Prandtl-...
作者:FengDING; TongwenCHEN 刊期:2005年第01期
Multirate systems are abundant in industry; for example, many soft-sensor design problems are related to modeling, parameter identification, or state estimation involving multirate systems. The study of multirate systems goes back to the early 1950's, and has become an active research area in systems and control. Thi...
作者:Tian-YouCHAI; HengYUE 刊期:2005年第01期
Many industrial processes have compositive complexities including multivariable, strong coupling, nonlinearity, time-variant and operating condition variations. Combining multivariable adaptive decoupling control with neural networks, this paper presents a multivariable neural networkbased decoupling control algorith...
作者:Jian-XinXU 刊期:2005年第01期
In this paper we review the recent advances in three sub-areas of iterative learning control (ILC): 1) linear ILC for linear processes, 2) linear ILC for nonlinear processes which are global Lipschitz continuous (GLC), and 3) nonlinear ILC for general nonlinear processes. For linear processes, we focus on several bas...
作者:Hong-YeSU; Wei-MinWU; JianCHU 刊期:2005年第01期
A quite great progress of the supervisory control theory for discrete event systems (DES)has been made in the past nearly twenty years, and now, automata, formal language and Petri nets become the main research tools. This paper focus on the Petri nets based supervisory control theory of DES. Firstly, we review the r...
作者:H.YUE; A.J.A.LEPRAND; H.WANG 刊期:2005年第01期
This paper presents a new algorithm designed to control the shape of the output probability density function (PDF) of singular systems subjected to non-Gaussian input. The aim is to select a control input uk such that the output PDF is made as close as possible to a given PDF.Based on the B-spline neural network appr...