检索结果-内蒙古大学图书馆

IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology (CIBCB)

作者： Jing Yang S. Wongsa V. Kadirkamanathan S.A. Billings P.C. Wright Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Department of Chemical and Systems Engineering University of Sheffield Sheffield UK

Metabolic fluxes have been regarded as an important quantity for metabolic engineering as they reveal cause-effect relationships between genetic modifications and resulting changes in metabolic activity and are used as a prerequisite for the design of optimal whole cell biocatalysts. The intracellular fluxes must be estimated due to the inability to measure them directly. A particular useful technique involves the use of /sup 13/C-enriched substrates and the measurement of label distribution generated for each intermediate to uncover all unmeasured fluxes by solving the label balance equations, e.g. isotopomer balances, at steady state. However, the formation of these equations typically requires tedious algebraic manipulation and in many cases the resulting equations must be solved numerically, due to the nonlinearity and high dimensionality. Here we present three different evolutionary algorithm (EA) based approaches in combination with the least squares algorithm to show the applicability of EAs in metabolic flux quantification. The performance of the algorithms are illustrated and discussed through the simulation of the cyclic pentose phosphate network in a noisy environment and the identifiability problem is also considered.

关键词： Evolutionary computation systems engineering and theory Labeling Nonlinear equations Design engineering Least squares methods Automatic control Nuclear magnetic resonance Genetic engineering Particle measurements

来源：评论

学校读者我要写书评

暂无评论

Neural-fuzzy modelling of polymer quality in batch polymerization reactors

Neural-fuzzy modelling of polymer quality in batch polymeriz...

引用

International IEEE Conference on Intelligent systems, IS

作者： V. Chitanov C. Kiparissides M. Petrov Department of Chemical Engineering Aristotle University of Thessaloniki Greece Control Systems Department Branch at Plovdiv Technical University of Sofia Plovdiv Bulgaria

The estimation of parameters and obtaining an accurate and comprehensive mathematical model of the polymerization process is of strategic importance to the control engineering purposes in the polymerization industry. It is characteristic for these processes a grate non-linearity and many difficulties applying traditional estimation techniques. This paper describes an approach based upon neural-fuzzy representation of the model. A concrete model is constructed with the Sugeno fuzzy inference technique and a fuzzy-neural network is used to model the dynamic behavior of the polymer process. Such neural-fuzzy models of polymer quality could be used successfully for optimization and control of polymerization processes. Short example for such implementation is included with additional results for modeling of Mn and Mw.

关键词： Polymers Inductors Parameter estimation Mathematical model control engineering Industrial control Plastics industry Concrete Fuzzy neural networks Process control

来源：评论

学校读者我要写书评

暂无评论

A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty

A model predictive control strategy for supply chain managem...

引用

American control Conference (ACC)

作者： W. Wang D.E. Rivera K.G. Kempf K.D. Smith Department of Chemical and Materials Engineering Control Systems Engineering Laboratory Arizona State University Tempe AZ USA Decision Technologies Intel Corporation Chandler AZ USA Components Automation Systems Intel Corporation Chandler AZ USA

Model predictive control (MPC) is presented as a tactical decision module for supply chain management in semiconductor manufacturing. A representative problem which includes distinguishing features of semiconductor manufacturing supply chains, such as material reconfiguration and stochastic product splits, is examined. Fluid analogies are used to model the supply chain dynamics, with stochasticity and nonlinearity occurring on the throughput time, yield and customer demand. Given inventory targets and capacity limits, MPC using linear time invariant models can make the system outputs track the targets and improve customer service levels. The flexibility provided by the choice of tuning parameters in MPC to achieve better performance and robustness in semiconductor manufacturing supply chain management is demonstrated.

关键词： Predictive models Predictive control Supply chain management Virtual manufacturing Semiconductor device manufacture Uncertainty Supply chains Semiconductor materials Stochastic processes Fluid dynamics

来源：评论

学校读者我要写书评

暂无评论

Intelligent control for the vision-based indoor navigation of an A-life mobile robot

引用

Artificial Life and Robotics 2004年第1期8卷 29-33页

作者： Wang, Jiwu Kimura, Hidenori Sugisaka, Masanori Department of Electrical and Electronics Engineering Oita University Oita Japan Institute of Physical and Chemical Research (RIKEN) Bio-Mimetric Control Research Center Nagoya Japan Complex Systems Department of Complexity Science and Engineering Graduate School of Frontier Science University of Tokyo Tokyo Japan

Realizing steady and reliable navigation is a prerequisite for a mobile robot, but this facility is often weakened by an unavoidable slip or some irreparable drift errors of sensors in long-distance navigation. Although perceptual landmarks were solutions to such problems, it is impossible not to miss landmarks occasionally at some specific spots when the robot moves at different speeds, especially at higher speeds. If the landmarks are put at random intervals, or if the illumination conditions are not good, the landmarks will be easier to miss. In order to detect and extract artificial landmarks robustly under multiple illumination conditions, some low-level but robust image processing techniques were implemented. The moving speed and self-location were controlled by the visual servo control method. In cases where a robot suddenly misses some specific landmarks when it is moving, it will find them again in a short time based on its intelligence and the inertia of the previous search motion. These methods were verified by the reliable vision-based indoor navigation of an A-life mobile robot.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Robustness of dual-rate inferential MPC systems

Robustness of dual-rate inferential MPC systems

引用

American control Conference (ACC)

作者： J.A. Rossiter J. Sheng T. Chen S.L. Shah Department of Automatic Control & Systems Engineering Sheffield University Sheffield UK Coordinated Science Laboratory University of Illinois Urbana USA Department of Electrical & Computer Engineering University of Alberta Edmonton AB Canada Department of Chemical & Materials Engineering University of Alberta Edmonton AB Canada

This paper investigates the robustness of dual-rate MPC systems with a proposed inferential control strategy. It shows that for some scenarios where a high-frequency model plant mismatch is presented, such dual-rate i... 详细信息

关键词： Robustness Robust stability Predictive models Robust control control systems Predictive control Strontium control system analysis Integrated circuit modeling Time varying systems

来源：评论

学校读者我要写书评

暂无评论

Teaching Semiphysical Modeling to chemical engineering Students Using a Brine-Water Mixing Tank Experiment 13

Teaching Semiphysical Modeling to Chemical Engineering Stude...

引用

13th IFAC Symposium on System Identification, SYSID 2003

作者： Rivera, D.E. Control Systems Engineering Laboratory Department of Chemical and Materials Engineering Arizona State University TempeAZ85287 United States

The chemical engineering program at Arizona State offers an integrated series of core courses that teach students how conservation and accounting principles can be applied to describe engineering phenomena across disciplines. A brine-water mixing tank experiment was introduced in the third course in the series (ECE 394C: Understanding engineering systems Via Conservation) as a capstone modeling project for the recitation portion of the course. The experiment provides students with »hands-on» experience on a real-life system incorporating process, electrical, and mechanical components, as well as real-time data acquisition and control. A major feature of the brine-water tank project is that students apply a comprehensive system identification procedure relying on semiphysical (a.k.a. »grey box») models to complement their understanding of first-principles modeling. This paper describes the brine-water tank experiment, presents the formulation of the semiphysical parameter estimation problem, and describes the comprehensive procedure that students undertake to go from process data to validated plant models. © 2003 International Federation of Automatic control.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

An Internet-Mediated Process control Laboratory

引用

IEEE control systems 2003年第1期23卷 11-18页

作者： Joseph, J. Department of Chemical Engineering University of South Florida Tampa FL 33620 United States Process Control Systems Laboratory Department of Chemical Engineering Washington University St. Louis MO 63130 United States

Two laboratory-scale experiments have been developed that can be executed safely over the Internet. They provide practical experience for students of process control. Remote access is within a client-server paradigm. Servers connected to the processes through the usual data acquisition hardware address issues regarding safety, security, data validation, and session management. A unique feature of the lab is the ability for the student to design, test, and verify control strategies in real time over the Internet. Necessary interlocks and cutoffs ensure safe remote operation of the units. Studies have shown that network speeds are not a significant concern for these systems due to slow process dynamics. The availability of Internet-mediated laboratory modules on an anytime/anywhere basis will enable a larger fraction of the class to get valuable laboratory experience. These experiments have also been used in an Internet-wired classroom for interactive demonstrations during lecture.

关键词： Internet Process control Laboratories Water heating Educational institutions control systems Hardware Nonlinear control systems Safety Testing

来源：评论

学校读者我要写书评

暂无评论

Teaching Semiphysical Modeling to chemical engineering Students Using a Brine-Water Mixing Tank Experiment

引用

IFAC Proceedings Volumes 2003年第16期36卷 1567-1572页

作者： D.E. Rivera Control Systems Engineering Laboratory Department of Chemical and Materials Engineering Arizona State University Tempe Arizona 85287

The chemical engineering program at Arizona State offers an integrated series of core courses that teach students how conservation and accounting principles can be applied to describe engineering phenomena across disciplines. A brine-water mixing tank experiment was introduced in the third course in the series (ECE 394C: Understanding engineering systems Via Conservation) as a capstone modeling project for the recitation portion of the course. The experiment provides students with "hands-on" experience on a real-life system incorporating process, electrical, and mechanical components, as well as real-time data acquisition and control. A major feature of the brine-water tank project is that students apply a comprehensive system identification procedure relying on semiphysical (a.k.a. "grey box") models to complement their understanding of first-principles modeling. This paper describes the brine-water tank experiment, presents the formulation of the semiphysical parameter estimation problem, and describes the comprehensive procedure that students undertake to go from process data to validated plant models.

关键词： system identification education semiphysical modeling

来源：评论

学校读者我要写书评

暂无评论

"Plant-Friendly" system identification: a challenge for the process industries

引用

IFAC Proceedings Volumes 2003年第16期36卷 891-896页

作者： Daniel E. Rivera Hyunjin Lee Martin W. Braun Hans D. Mittelmann Control Systems Engineering Laboratory Department of Chemical and Materials Engineering Department of Mathematics and Statistics Arizona State University Tempe Arizona 85287

The term "plant-friendly" system identification has been used within the chemical process control research community in reference to the broad-based goal of accomplishing informative identification testing while meeting the demands of industrial practice. While many different identification topics (such as control-relevant identification, closed-loop identification and optimal input design) can be said to contribute to plant-friendliness in identification, the problem has some unique character of its own. This paper describes some of the issues that motivate plant-friendly identification and presents an overview of some approaches that have been proposed in this topic. The problem of identification test monitoring is presented as a novel means for accomplishing plant-friendly identification.

关键词： plant-friendly system identification chemical process control identification test monitoring

来源：评论

学校读者我要写书评

暂无评论

New in situ sensor modeling approach to measurement validation

New in situ sensor modeling approach to measurement validati...

引用

作者： Srinivasagupta, Deepak Joseph, Babu Morley, Robert E. Process Control Systems Laboratory Department of Chemical Engineering Washington University One Brookings Drive St. Louis MO 63130 United States Electronic Systems Laboratory Department of Electrical Engineering Washington University One Brookings Drive St. Louis MO 63130 United States Department of Chemical Engineering University of South Florida ENB 118 4202 E. Fowler Avenue Tampa FL 33260 United States

Measurement error due to sensor degradation (fouling, miscalibration, etc.) is more difficult to identify compared to catastrophic sensor failure. Passive methods previously proposed for sensor-level monitoring are based on power spectrum or multiscale analysis of sensor data. These methods have limitations caused by not accounting for various noise sources and assumptions about sensor noise characteristics, thus resulting in false and missed alarms. In this paper, an online sensor fault detection scheme based on the identification of sensor response characteristics is proposed and evaluated. We develop both robust passive and active in situ techniques to identify sensor response characteristics that relate directly to its health. Using the identified sensor model, various kinds of sensor faults are quantified and mapped into the model parameters. A dynamic model-based estimator is proposed for data reconciliation. These ideas were experimentally validated using thermocouples, flowmeters, and resistance thermometric devices on laboratory-scale processes. The proposed approach was seen to accurately quantify the sensor model parameters and aid in measurement reconstruction.

关键词： chemical sensors

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：