检索结果-内蒙古大学图书馆

8th IFAC Symposium on Dynamics and control of Process Systems, 2007

作者： Drewa, M. Brdys, M.A. Cimiński, A. Department of Automatic Control Gdansk University of Technology ul G. Narutowicza 11/12 Gdansk80-952 Poland School of Engineering Department of Electrical Electronic and Computer Engineering University of Birmingham BirminghamB15 2TT United Kingdom

The paper considers a feedback optimising control of drinking water distribution systems (DWDS). Although the optimised pump and valves scheduling and disinfectant injection control attracted considerable attention over last two decades most of the contributions were limited to an open-loop optimisation repetitively performed during the DWDS operation. An information feedback from the DWDS is needed in reality in order to compensate uncertainty in the water demand prediction and the modelling errors. Also, while a strong interaction between the water quantity and quality exists most of the proposals regards either quality or quantity control. In this paper a generic model predictive controller for the optimising control of an integrated quantity and quality in DWDS is derived and applied to the case - study system. The simulation results based on real data records are presented. © Copyright 2007 IFAC.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Interval estimator for chlorine monitoring in drinking water distribution systems under uncertain system dynamics, inputs and state measurement errors

Interval estimator for chlorine monitoring in drinking water...

引用

作者： Brdys, M.A. Langowski, R. School of Engineering Department of Electrical Electronic and Computer Engineering University of Birmingham Birmingham B15 2TT United Kingdom Department of Automatic Control Gdansk University of Technology ul. G. Narutowicza 11/12 80-952 Gdansk Poland

ISBN: (纸本)9783902661258

The design of interval observer for estimation of unmeasured state variables for application to drinking water distribution systems is described in this paper. In particular, it considers the design of such observer for estimation of water quality described by free chlorine concentration. An interval observer is derived to produce robust interval bounds on the estimated water quality state variables. The stability and robustness the interval observer are investigated under uncertainty in the system dynamics, inputs, and initial conditions and under the state measurement errors. The observer is applied to an example water network and its performance is validated by simulation. © 2007 IFAC.

关键词： Water quality

来源：评论

学校读者我要写书评

暂无评论

Simulation of Piezoelectric Tube Actuators by Reduced Finite Element Models for controller Design

Simulation of Piezoelectric Tube Actuators by Reduced Finite...

引用

American control Conference (ACC)

作者： Johannes Maess Andrew J. Fleming Frank Allgower Institute for Systems Theory and Automatic Control University of Stuttgart Stuttgart Germany School of Electrical Engineering and Computer Science University of Newcastle Australia

This article presents an extended modeling approach for piezoelectric tube actuators combining finite element analysis (FEA) and model order reduction (MOR) techniques. The model includes the full coupling between motion in all axes, while the reduced model order, which depends mainly on the desired bandwidth and model accuracy, makes it a suitable basis for controller design purposes. Simulation results in the frequency domain are compared to measurements and show an excellent agreement in a wide frequency range. The increase of scan accuracy in closed-loop operation is demonstrated by simulation data of a model-based H infin controller.

关键词： Piezoelectric actuators Finite element methods Electrodes Atomic force microscopy Voltage Predictive models Motion control Frequency measurement Shape measurement Intelligent actuators

来源：评论

学校读者我要写书评

暂无评论

Improved neural network ensemble for the prediction of PMV index

引用

Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 2007年第2期27卷 143-147页

作者： Xu, Yuan-Qing Chen, Xiang-Guang Wang, Li Zhang, Qi-Hong School of Chemical Engineering and Environment Beijing Institute of Technology Beijing 100081 China School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China Department of Automatic Control School of Information Science and Technology Beijing Institute of Technology Beijing 100081 China

In order to predict the PMV index more effectively on a large sample set, a neural network ensemble method based on fuzzy c-means clustering (FCM) is presented. By using the FCM algorithm, the original sample set is divided into some intersectant subsets, and with these subsets the corresponding individual neural networks can be trained as parts of an integrated system. When putting this system into use, the prediction result can be obtained by summing the products of the individual networks' outputs and weights. However, the method consists mainly of two local optimum algorithms, of which one is the hill climbing method in fuzzy c-means clustering, the other the steepest descent method in training BP neural network. As an effective improved scheme, the particle swarm optimization is introduced to cover the shortage of local optimum. In this way, the performance of the predictive system is greatly promoted. Experiments indicate that the method has a good performance of global optimum in neural network ensemble, and the compositive network system can predict the PMV index more accurately.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Level-triggered control of a scalar linear system

Level-triggered control of a scalar linear system

引用

Mediterranean Conference on control and Automation (MED)

作者： Maben Rabi John S. Baras Automatic Control Laboratory School of Electrical Engineering Royal Institute of Technology Stockholm Sweden Institute for Systems Research and Department of Electrical and Computer Engineering University of Maryland College Park MD USA

In networked control systems, because of limits on communication rates, control waveforms are frequently piece-wise constant with limits on rates at which they can switch levels. It is, therefore, natural to expect event-triggered control switchings to perform more efficiently than time-triggered ones. This article verifies the validity of this supposition. A method for designing good level-triggered control schemes is obtained by reducing the continuous time problem to one in discrete time. Then, by numerical procedures, the performance of the level-triggered scheme is computed for comparison with that of the periodically switched control scheme.

关键词： control systems Linear systems Communication system control automatic control Switches Communication switching Signal sampling Signal processing Laboratories Educational institutions

来源：评论

学校读者我要写书评

暂无评论

OPTIMIZED ALLOCATION OF CHLORINATION STATIONS FOR INTEGRATED QUANTITY AND QUALITY control IN DRINKING WATER DISTRIBUTION SYSTEMS

引用

IFAC Proceedings Volumes 2007年第9期40卷 73-78页

作者： M. Drewa M.A. Brdys Department of Automatic Control Gdansk University of Technology ul G. Narutowicza 11/12 80 -952 Gdansk Poland School of Engineering Department of Electrical Electronic and Computer Engineering University of Birmingham Birmingham B15 2TT UK

Providing required quality of water delivered to the consumers is still a challenging operational task at drinking water distribution systems. Water quality meets the quality requirements at the outputs from the treatment plants but it may significantly deteriorate when travelling throughout the system and become not usable at the consumption nodes. It becomes then necessary to introduce secondary chlorine disinfection at certain nodes within the system network. The booster stations are located at these quality control nodes to inject the chlorine so that the quality requirements are met throughout the network, including the consumption nodes. The integrated quality and quantity optimized control can then be safely carried out in the system. The paper proposes a method for allocation of the booster stations such that a desired trade off between several objectives is robustly achieved. An advanced genetic solver of the derived optimization task is applied to determine the optimized allocation. The method is illustrated by application to the case study system.

关键词： quality control optimization problems genetic algorithms environmental engineering algorithms water quality

来源：评论

学校读者我要写书评

暂无评论

MODEL PREDICTIVE control OF INTEGRATED QUANTITY AND QUALITY IN DRINKING WATER DISTRIBUTION SYSTEMS

引用

IFAC Proceedings Volumes 2007年第5期40卷 95-100页

作者： M. Drewa M.A. Brdys A. Cimiński Department of Automatic Control Gdansk University of Technology ul G. Narutowicza 11/12 80 -952 Gdansk Poland School of Engineering Department of Electrical Electronic and Computer Engineering The University of Birmingham Birmingham B15 2TT UK

关键词： predictive control closed-loop control integrated plant control genetic algorithms water quantity and quality

来源：评论

学校读者我要写书评

暂无评论

INTERVAL ESTIMATOR FOR CHLORINE MONITORING IN DRINKING WATER DISTRIBUTION SYSTEMS UNDER UNCERTAIN SYSTEM DYNAMICS, INPUTS AND STATE MEASUREMENT ERRORS

引用

IFAC Proceedings Volumes 2007年第9期40卷 85-90页

作者： M.A. Brdys R. łangowski School of Engineering Department of Electrical Electronic and Computer Engineering The University of Birmingham Birmingham B15 2TT UK Department of Automatic Control Gdansk University of Technology ul. G. Narutowicza 11/12 80 -952 Gdansk Poland

关键词： estimators bounding method dynamic modelling water quality

来源：评论

学校读者我要写书评

暂无评论

MARKOV DECISION PROCESSES WITH UNCERTAIN TRANSITION RATES: SENSITIVITY AND MAX HYPHEN MIN control

引用

Asian Journal of control 2008年第2期6卷

作者： Suresh Kalyanasundaram Edwin K. P. Chong Ness B. Shroff Motorola India Electronics Limited No. 66/1 Plot 5 Bagmane Techpark C. V. Raman Nagar Post Bangalore 560 093 India. Department of Electrical and Computer Engineering Colorado State University Fort Collins CO 80523-1373 USA. Professor Edwin K. P. Chong received the B.E.(Hons.) degree with First Class Honors from the University of Adelaide South Australia in 1987 graduating top of his class and the M.A. and Ph.D. degrees in 1989 and 1991 respectively both from Princeton University where he held an IBM Fellowship. He joined the School of Electrical and Computer Engineering at Purdue University in 1991 where he was named a University Faculty Scholar in 1999 and promoted to Full Professor in 2001. Since August 2001 he has been a Professor of Electrical and Computer Engineering and Professor of Mathematics at Colorado State University. His current interests are in communication networks and optimization methods. He coauthored the best-selling book An Introduction to Optimization 2nd Edition Wiley-Interscience 2001. He received the NSF CAREER Award in 1995 and the ASEE Frederick Emmons Terman Award in 1998. He coauthored a paper that was awarded Best Paper in the journal Computer Networks 2003. Professor Chong is a Fellow of the IEEE. He was founding chairman of the IEEE Control Systems Society Technical Committee on Discrete Event Systems and until recently served as an IEEE Control Systems Society Distinguished Lecturer. He has been on the editorial board of the IEEE Transactions on Automatic Control. He is currently on the editorial board of the journal Computer Networks. He has also served on the organizing committees of several international conferences. He has been on the program committees for the IEEE Conference on Decision and Control the American Control Conference the IEEE International Symposium on Intelligent Control IEEE Symposium on Computers and Communications and the IEEE Global Telecommunications Conference. He has also served in the executive committees for the IEEE Co

Solution techniques for Markov decision problems rely on exact knowledge of the transition rates, which may be difficult or impossible to obtain. In this paper, we consider Markov decision problems with uncertain transition rates represented as compact sets. We first consider the problem of sensitivity analysis where the aim is to quantify the range of uncertainty of the average per-unit-time reward given the range of uncertainty of the transition rates. We then develop solution techniques for the problem of obtaining the max-min optimal policy, which maximizes the worst-case average per-unit-time reward. In each of these problems, we distinguish between systems that can have their transition rates chosen independently and those where the transition rates depend on each other. Our solution techniques are applicable to Markov decision processes with fixed but unknown transition rates and to those with time-varying transition rates.

关键词： Markov decision processes sensitivity max-min control call admission control policy iteration

来源：评论

学校读者我要写书评

暂无评论

The Stability Analysis of the Adaptive Fading Extended Kalman Filter

The Stability Analysis of the Adaptive Fading Extended Kalma...

引用

IEEE Conference on control Technology and Applications (CCTA)

作者： Kwang Hoon Kim Jang Gyu Lee Chan Gook Park Gyu In Jee Department of Electronics Engineering Brain Korea 21 Research Group Konkuk University Seoul South Korea School of Electrical Engineering and Computer Science and Automatic Control Research Center Seoul National University Seoul South Korea School of Mechanical and Aerospace Engineering and Institute of Advanced Aerospace Technology Seoul National University Seoul South Korea Department of Electronics Engineering Konkuk University Seoul South Korea

The well-known conventional Kalman filter gives the optimal solution but requires an accurate system model and exact stochastic information. Thus, the Kalman filter with incomplete information may be degraded or even diverged. In a number of practical situations, the system model and the stochastic information are incomplete. To solve this problem, a new adaptive fading Kalman filter (AFKF) using the forgetting factor has recently been proposed. This paper extends the AFKF to nonlinear system models to obtain an adaptive fading extended Kalman filter (AFEKF). The forgetting factor is generated from the ratio between the calculated innovation covariance and the estimated innovation covariance. Based on the analysis result of Reif for the EKF, the stability of the AFEKF is also analyzed.

关键词： Stability analysis Fading Stochastic systems Nonlinear equations Nonlinear systems Information filtering Information filters Adaptive filters control systems Degradation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：