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第九届亚太国际微分离分析学术会议暨第一届亚太国际芯片实验室学术会议

作者： Linlin Wang Jiang Huang Wei Jin Ying Mu Research Center for Analytical Instrumentation Institute of Cyber-Systems and Control State Key Lab.Of Industrial Control Technology Zhejiang University Hangzhou 310058

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Variety of Linear Continuous Time systems

Variety of Linear Continuous Time Systems

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Hui ZHANG Youxian SUN the State Key Laboratory of Industrial Control Technology Institute of Industrial Process ControlDepartment of Control Science & EigeneeringZhejiang University

The epsilon-entropy was adopted as a measure of information in the analysis of linear Gaussian continuous time control systems under the consideration that the ‘virtual reproductions' of system input and output are subjected to a common high enough precision *** function of system variety which describes the variation of time average information in system was defined as the difference between epsilon-entropy rates of system input and *** formulates how does the information or uncertainty of input transmit through the dynamic system and impact *** within variety,Bode sensitivity integral and H∞ entropy were then derived.

关键词： Gaussian Variety of Linear Continuous Time systems

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Iterative Learning control with High-Order Internal Model for Linear Time-Varying systems

Iterative Learning Control with High-Order Internal Model fo...

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2009 American control Conference (ACC 2009)

作者： Chunping Liu Jianxin Xu Jun Wu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China Department of Electrical and Computer Engineering National University of Singapore 117576 Singapore

ISBN: (纸本)9781424445233

In this work we focus on iterative learning control (ILC) for iteratively varying reference trajectories which are described by a high-order internal model. The high-order internal model (HOIM) is formulated as a polynomial between two consecutive iterations. The classical ILC with iteratively invariant reference trajectories, on the other hand, is a special case of HOIM where the polynomial renders to a unity coefficient, in other words, the 0th order internal model. By inserting the polynomial (HOIM) into the past control input of the ILC law, and designing appropriate learning control gains, the learning convergence in the iteration axis can be guaranteed for continuous-time linear time varying (LTV) systems. The initial condition, P-type and D-type ILC, and possible extension to nonlinear cases are also explored.

关键词： Time varying systems Polynomials Convergence control systems Iterative methods Process design Time domain analysis Design methodology Transient response Trajectory

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Identification of Nonlinearly Parameterized Nonlinear Models:Application to Mass Balance systems

Identification of Nonlinearly Parameterized Nonlinear Models...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Xiangbin Liu Romeo Ortega Hongye Su Jian Chu State Key Lab.of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang University Electronic Information Engineering College Henan University of Science& Technology

A new framework to design parameter estimators for nonlinearly parameterized systems is proposed in this *** key step is the construction of a monotone function,which explicitly depends on some of the estimator tuning ***—or the related property of convexity—have already been explored by several authors with monotonicity(or convexity) being a priori assumptions that are,usually,valid only on some region of state *** our approach monotonicity is enforced by the designer,effectively becoming a synthesis *** order to dispose of degrees of freedom to render the function monotone we depart from standard(gradient or least-squares) estimators and adopt instead the recently introduced immersion and invariance approach for adaptation.

关键词： Identification of Nonlinearly Parameterized Nonlinear Models:Application to Mass Balance systems

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Multi-step Prediction Error Approach for MPC Performance Monitoring *

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IFAC Proceedings Volumes 2009年第11期42卷 482-487页

作者： Yu Zhao Jian Chu Hongye Su Biao Huang State Key Lab. of Industrial Control Technology Institute of Cyber Systems and Control Zhejiang University Hangzhou China Department of Chemical and Materials Engineering University of Alberta Edmonton AB Canada T6G 2G6

Abstract Performance monitoring of model predictive control systems (MPC) has received a great interest from both academia and industry. In recent years some novel approaches for multivariate control performance monitoring have been developed without the requirement of process models or interactor matrices. Among them the prediction error approach has been shown to be a promising one, but it is k-step prediction based and may not be fully comparable with the MPC objective that is multi-step prediction based. This paper develops a multi-step prediction error approach for performance monitoring of model predictive control systems, and demonstrates its application in an industrial MPC performance monitoring and diagnosis problem.

关键词： Multivariable control systems Model predictive control Performance evaluation Performance monitoring Prediction error methods

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A fast method of on-line coal identification in a drop-tube furnace

A fast method of on-line coal identification in a drop-tube ...

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IEEE Instrumentation and Measurement technology Conference

作者： Rui Kan Hongjian Zhang Hongliang Zhou Tianyang Chi State Key Laboratory of Industrial Control Technology Institute of Automation Instrumentation University of Zhejiang Hangzhou China

ISBN: (纸本)9781424433520

It has been proven that detecting the type of coal burning in the boiler is very important to the thermal power plants. But the identification of the coals online is hard, especially for the blended coals. In this paper, three flame information including average, standard deviation and oscillation frequency are extracted by a flame detector, and using the information extracted composes the flame feature matrixes. By calculating the correlation coefficient of the matrixes the coals can be identified well. For the method does not use complex calculation, it can be used to identify coals fast online. The experimentation has been done on the drop-tube furnace, 27 kinds of coals including 7 single coals and 20 blended coals are tested, and the result shows the method works well for the identification of the coals.

关键词： Furnaces Fires Powders Signal processing Power generation Monitoring Ignition Data acquisition Detectors Boilers

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Performance assessment of run-to-run control in semiconductor manufacturing based on IMC framework

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International Journal of Production Research 2009年第15期47卷 4173-4199页

作者： Chen, Liang Ma, Mingda Jang, Shi-Shang Wang, David Shan-Hill Wang, Shuqing State Key Laboratory of Industrial Control Technology Institute of Advanced Process Control Hangzhou China Center for Control and Guidance Technology Harbin Institute of Technology Harbin China Department of Chemical Engineering National Tsing-Hua University Hsin-Chu Taiwan

The objective of this paper is to propose a universal methodology for performance assessment of run-to-run control in semiconductor manufacturing. The slope of the linear semiconductor process model is assumed to be known or subjected to mild plant/model mismatch. Based on an internal model control framework, analytical expressions of minimum variance performance (MVP) and best achievable performance (BAP) for a series of run-to-run control schemes are derived. In the methodology, closed-loop identification is utilised as the first step to estimate the noise dynamics via routine operating data, and numerical optimisation is employed as a second step to calculate the best achievable performance bounds of the run-to-run control loops. The validity of the methodology is justified by examples of performance assessment for EWMA control, double EWMA control and RLS-LT control, even under circumstances where the processes encounter model mismatch, metrology delay and more sophisticated noises. Several essential characteristics of run-to-run control are discovered by performance assessment, and valuable advice is offered to process engineers for improving the run-to-run control performance. Furthermore, a useful application example for online performance monitoring and optimal tuning of run-to-run controller demonstrates the advantage of the methodology.

关键词： Optimization

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Immersion and Invariance Adaptive control of Nonlinearly Parameterized Nonlinear systems

Immersion and Invariance Adaptive Control of Nonlinearly Par...

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2009 American control Conference (ACC 2009)

作者： Xiangbin Liu Romeo Ortega Hongye Su Jian Chu State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 P. R. China Laboratoire des Signaux et Systemes Supelec 9112 Gif-sur-Yvette France

ISBN: (纸本)9781424445233

A new framework to design adaptive controllers for nonlinearly parameterized systems is proposed in this paper. The key step is the construction of a monotone function, which explicitly depends on some of the estimator tuning parameters. Monotonicity--or the related property of convexity--have already been explored by several authors with convexity being an a priori assumption that is valid only on some region of state space. In our approach monotonicity is enforced by the designer, effectively becoming a synthesis tool. One consequence of this fact is that the controller does not rely on state-dependent switching. In order to dispose of degrees of freedom to render the function monotone we depart from standard adaptive control and adopt instead the recently introduced Immersion and Invariance approach.

关键词： Adaptive control Nonlinear systems Programmable control control systems Nonlinear control systems Parameter estimation state-space methods Robust stability Switches Standards development

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Iterative Learning control for Network systems with Communication Delay or Data Dropout

Iterative Learning Control for Network Systems with Communic...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Chunping Liu Jianxin Xu Jun Wu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang University Department of Mechatronics Engineering Shaoxing College of Arts and Sciences Department of Electrical and Computer Engineering National University of Singapore Hangzhou Qian Jiang expert SUPCON Technology Co.Ltd.SUPCON Park

In this paper,iterative learning control(ILC) is applied to network-based control problems in which communication channels are subject to random transport delay and data *** averaging ILC algorithm is used to overcome the random *** analysis,it is shown that ILC can perform well and achieve asymptotical convergence in ensemble average along the iteration axis,as far as the probability of the transmission delay and data dropout are known a priori.A unique contribution in this work is to illustrate the applicability of ILC to nonlinear systems while both the one-step delay and the data-dropout phenomena are taken into *** analysis and simulations validate the effectiveness of the ILC algorithm for network-based control tasks.

关键词： ILC Iterative Learning control for Network systems with Communication Delay or Data Dropout dropout

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Study of Direction Probability and Algorithm of Improved Marriage in Honey Bees Optimization for Weapon Network System

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Defence technology（防务技术） 2009年第2期5卷 152-157页

作者：杨晨光涂序彦陈杰 Systems Engineering Research Institute China State Shipbuilding Corporation Department of Automation School of Information Science and Technology Beijing Institute of Technology Ministry of Education of Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology

To solve the weapon network system optimization problem against small raid objects with low attitude,the concept of direction probability and a new evaluation index system are *** calculating the whole damaging probability that changes with the defending angle,the efficiency of the whole weapon network system can be subtly *** such method,we can avoid the inconformity of the description obtained from the traditional index *** new indexes are also proposed,*** index,overlap index and cover index,which help manage the relationship among several *** normalizing the computation results with the Sigmoid function,the matching problem between the optimization algorithm and indexes is well ***,the algorithm of improved marriage in honey bees optimization that proposed in our previous work is applied to optimize the embattlement *** is carried out to show the efficiency of the proposed indexes and the optimization algorithm.

关键词：网络系统优化问题破坏概率算法改进核武器蜜蜂婚姻 Sigmoid函数

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