检索结果-内蒙古大学图书馆

The Mimo Predictive Pid controller Design

Asian Journal of control 2008年第4期4卷

作者： M.H. Moradi M.R. Katebi M.A. Johnson Department of Electronic and Electrical Engineering University of Strath-clyde Glasgow GI 1QE UK. Dr. Moradi is a Lecturer in the Department of Electronic and Electrical Engineering University of Bu-Ali Sina in Iran. He obtained the BSc and MSc in 1991 and 1993 from the Sharif University of Technology and Tarbiat Modarres University respectively. Dr. Moradi joined the Bu-Ali Sina University in 1993. In 2002 he obtained his PhD degree from the University of Strath-clyde Glasgow Scotland. His theoretical research interests include predictive PID control advanced classical control generalised predictive control system identification and fault monitoring robust control design computer networks and more recently control through networks. His industrial interests are in the areas of large-scale systems especially power systems and power plant modelling and control supervisory control and process control. Dr. Moradi has published a number of Journal and Conference papers. Dr. Katebi is a senior lecturer in the Department of Electronic and Electrical Engineering University of Strathclyde. His theoretical research interests are currently focused on Non-linear Control and Filtering for Complex Systems Autonomous Control Design System integration and Fault monitoring and Reconfiguration Plant Monitoring through the Internet Discrete Event Simulation Process Optimisation and Robust Control Design. The industrial research interests are in the area of Hot and Rolling for Steel and Aluminium Power Plant Modelling and Control Marine Control Systems Process Control and Wastewater Treatment Control. Dr Katebi is the author/co-author of four books and more than 150 papers and industrial reports. Professor Johnson's academic education began at Coventry University (1969) and continued under the supervision of Professor Greyham Bryant in the field of Control Systems at Imperial College London. He obtained the DIC MSc and PhD from Imperial College leaving for industry in 1978. Subsequent experience was in the

This paper is concerned with the design of Multi-Inputs and Multi-Outputs (MIMO) predictive PID controllers, which have similar performance to that obtainable from model-based predictive controllers. A new PID control structure is defined which incorporates the prediction of future outputs and uses future set point. A method is proposed to calculate the optimal values of the PID gains from generalised predictive control results. A decentralized version of the predictive PID controllers is presented and the stability of the closed loop system is studied. Simulation studies demonstrate the superior performance of the proposed controller compared with a conventional PID controller. The results are also compared with generalised predictive control solutions.

关键词： PID control design predictive PID MIMO controller optimisation

来源：评论

学校读者我要写书评

暂无评论

Cognition-oriented building blocks of future benchmark scenarios for humanoid home robots

Cognition-oriented building blocks of future benchmark scena...

引用

2007 AAAI Workshop

作者： Burghart, Catherina R. Mikut, Ralf Holzapfel, Hartwig Institute of Process Control and Robotics University of Karlsruhe D-76128 Karlsruhe Germany Forschungszentrum Karlsruhe GmbH Institute of Applied Computer Science P.O. Box 3640 D-76021 Karlsruhe Germany Interactive Systems Lab. University of Karlsruhe D-76128 Karlsruhe Germany

ISBN: (纸本)9781577353317

Comparing intelligent robots interacting with humans is a difficult task. First of all, robotic helps in everyday life can be involved in different tasks. Additionally, the grade of autonomy of the robot and the type of interaction between human and robot may differ to a great extent. It also is an intricate task to design common metrics to assess human-robot interaction. Thus normal benchmarks fail in this case. After an overview of already existing benchmarks in robotics this paper sketches affordances for benchmarks for human-robot interaction in a home environment. Many aspects of already existing benchmarks, evaluation criteria, and metrics have to be combined to asses human-robot interaction in a complex environment. The great difficulty is measuring human and robot behavior;here novel approaches taking into account perspectives from different fields (i.e. engineers, psychologists, sociologist) are needed, as a human being does not behave as anticipated by the system designer most of the time. Copyright © 2007, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Human robot interaction

来源：评论

学校读者我要写书评

暂无评论

Special Issue on Variable Structure System control — New Designs and Applications

引用

Asian Journal of control 2008年第4期5卷

作者： Prof. Jian-Xin Xu Prof. Leonid Fridman Department of Electrical and Computer Eng. National University of Singapore 4 Engineering Drive 3 Singapore 117576 Tel +65 6874-2566 Fax +65 6779-1103 Dr Jian-Xin Xu received his Bachelor degree from Zhejiang University China in 1982. He attended the University of Tokyo Japan where he received his Master's and Ph.D. degrees in 1986 and 1989 respectively. All his degrees are in Electrical Engineering. He worked for one year in the Hitachi research Laboratory Japan and for more than one year in Ohio State University U.S.A. as a Visiting Scholar. In 1991 he joined the National University of Singapore and is currently an associate professor in the Department of Electrical Engineering. His research interests lie in the fields of learning control variable structure control fuzzy logic control discontinuous signal processing and applications to motion control and process control problems. He is the associate editor of Asian Journal of Control member of TC on variable structure systems and sliding mode control of IEEE Control Systems Society and a senior member of IEEE. He has produced more than 90 peer-refereed journal papers near 160 technical papers in conference proceedings and authored/edited 4 books. Division de Estudios de Posgrado Facultad de Ingenieria National Autonomous University of Mexico DEP-FI UNAM Edificio “A” Circuito Exterior Ciudad Universitaria A. P. 70–256 C.P.04510 Mexico D.F. Mexico Tel +52 55 56223014 Fax +52 55 56161719 Dr. Leonid M. Fridman received his M.S in mathematics from Kuibyshev (Samara) State University Russia Ph.D. in Applied Mathematics from Institute of Control Science (Moscow) and Dr. of Science degrees in Control Science from Moscow State University of Mathematics and Electronics in 1976 1988 and 1998 respectively. In 1976–1999 Dr. Fridman was with the Department of Mathematics at the Samara State Architecture and Civil Engineering Academy Samara Russia. In 2000–2002 he was with the Department of Postgraduate Study and Investigations at the Chihuahu

来源：评论

学校读者我要写书评

暂无评论

Inducing decision trees via concept lattices

Inducing decision trees via concept lattices

引用

5th International Conference on Concept Lattices and Their Applications, CLA 2007

作者： Belohlavek, Radim De Baets, Bernard Outrata, Jan Vychodil, Vilem Dept. Systems Science and Industrial Engineering T.J. Watson School of Engineering and Applied Science SUNY Binghamton PO Box 6000 Binghamton NY 13902-6000 United States Dept. Appl. Math. Biometrics and Process Control Ghent University Coupure links 653 B-9000 Gent Belgium Dept. Computer Science Palacky University Olomouc Tomkova 40 CZ-779 00 Olomouc Czech Republic

The paper presents a new method of decision tree induction based on formal concept analysis (FCA). The decision tree is derived using a concept lattice, i.e. a hierarchy of clusters provided by FCA. The idea behind is to look at a concept lattice as a collection of overlapping trees. The main purpose of the paper is to explore the possibility of using FCA in the problem of decision tree induction. We present our method and provide comparisons with selected methods of decision tree induction on testing datasets.

关键词： Formal concept analysis

来源：评论

学校读者我要写书评

暂无评论

A NEURO-FUZZY SYSTEM DESIGN METHODOLOGY FOR VIBRATION control

引用

Asian Journal of control 2008年第4期7卷

作者： S. M. Yang Y. J. Tung Y. C. Liu Shih-Ming Yang:has been with the Institute of Aeronautics and Astronautics National Cheng Kung University Taiwan since 1989. He received Ph.D. degree from University of California at Berkeley U.S.A. His current interests are smart structure systems system identification and intelligent controller design in digital signal processor and digital watermarking. Yu-Ju Tung:received B.S. and M.S. in Aeronautics and Astronautics from the National Cheng Kung University Taiwan in 1999 and 2001. Her research interests have been in Digital Signal Processing of computer peripherals. She is currently a Firmware Engineer on wireless applications in Syntech Information Co. in Taiwan. Department of Information Management Tainan Woman's College of Arts and Technology Taiwan R.O.C. Yu-Chuan Liu:is an Assistant Professor in the Department of Information Management at Tainan Women's University. Dr. Liu received his Ph.D. in Aeronautics and Astronautics from the National Cheng Kung University of Taiwan in 1993 and served as the R&D manager and vice-president in mechanical and optoelectronics industries. Dr. Liu joined the faulty in 2002 and his research interests are in process control and management information system computer-integrated manufacturing (CIM) and e-Business. Dr. Liu has published more than 25 technical articles in this area.

Fuzzy system has been known to provide a framework for handling uncertainties and imprecision by taking linguistic information from human experts. However, difficulties arise in determining effectively the fuzzy system configuration, i.e. , the number of rules, input and output membership functions. A neuro-fuzzy system design methodology by combining neural network and fuzzy logic is developed in this paper to adaptively adjust the fuzzy membership functions and dynamically optimize the linguistic-fuzzy rules. The structure of a five-layer feedforward network is shown to determine systematically the correct fuzzy logic rules, tune optimally (in the sense of local region) the parameters of the membership functions, and perform accurately the fuzzy inference. It is shown both numerically and experimentally that engineering applications of the neuro-fuzzy system to vibration control have been very successful.

关键词： Neural network fuzzy logic vibration control.

来源：评论

学校读者我要写书评

暂无评论

Influence of scaling and unfolding in PCA based monitoring of nutrient removing batch process

Influence of scaling and unfolding in PCA based monitoring o...

引用

作者： Ruiz, Magda Villez, Kris Sin, Gurkan Colomer, Joan Vanrrolleghem, Peter Control Engineering and Intelligent Systems Group -eXiT Department of Electronics Computer Science and Automatic Control University of Girona CP 17071 Girona Spain Department of Applied Mathematics Biometrics and Process Control Ghent University Coupure Links 653 B-9000 Ghent Belgium

ISBN: (纸本)9783902661142

The data set of batch biological and biotechnological processes can be organized in a three-way data matrix. In this paper the usefulness of different PCA approaches for monitoring is analyzed. Different ways of unfolding and scaling of data have been applied to a pilot-scale SBR data. PCA is used to reduce the dimensionality and to remove the non-linearity dynamic of the data. Moreover, a new method to select the number of principal components is proposed. Loadings graphics are used to determinate the predominant variables for each one. The results show that whatever model can be applied depending on the goal of the monitoring, however the models implicate possible false alarms or faults omission. Copyright © 2006 IFAC.

关键词： process monitoring

来源：评论

学校读者我要写书评

暂无评论

INFLUENCE OF SCALING AND UNFOLDING IN PCA BASED MONITORING OF NUTRIENT REMOVING BATCH process

引用

IFAC Proceedings Volumes 2006年第13期39卷 114-119页

作者： Magda Ruiz Kris Villez Gurkan Sin Joan Colomer Peter Vanrrolleghem 1Control Engineering and Intelligent Systems Group –eXiT Department of Electronics Computer Science and Automatic Control University of Girona Campus Montilivi CP 17071 Building PIV Girona - Spain Department of Applied Mathematics Biometrics and Process Control Ghent University Coupure Links 653 B-9000 Ghent – Belgium

关键词： Biological process process monitoring Multiway Principal Component Analysis (MPCA)

来源：评论

学校读者我要写书评

暂无评论

ROBUST STABILITY CHECKING OF A CLASS OF LINEAR INTERVAL FRACTIONAL ORDER SYSTEM USING LYAPUNOV INEQUALITY

引用

IFAC Proceedings Volumes 2006年第11期39卷 89-94页

作者： Hyosung Ahn YangQuan Chen Igor Podlubny Center for Self-Organizing and Intelligent Systems (CSOIS) Department of Electrical and Computer Engineering Utah State University Logan UT 84322-4160 USA Department of Applied Informatics and Process Control Technical University of Kosice B. Nemcovej 3 04200 Kosice Slovak Republic

This paper provides a new analytical robust stability checking method of fractional-order linear time invariant interval uncertain system. This paper continues the authors’ previous work (Chen et al., 2005a) where matrix perturbation theory was used. For the new robust stability checking, Lyapunov inequality is utilized for finding the maximum eigenvalue of a Hermitian matrix. Through numerical examples, the usefulness and the effectiveness of the newly proposed method are verified.

关键词： Fractional order linear dynamic systems robust stability interval linear time invariant systems interval matrix

来源：评论

学校读者我要写书评

暂无评论

Constrained control of a low power industrial gas turbine based on input-output linearization

Constrained control of a low power industrial gas turbine ba...

引用

5th International Conference on control and Automation, ICCA'05

作者： Ailer, Piroska Pongrácz, Barna Szederkényi, Gábor Knorr-Bremse Brake Systems Ltd. Major u. 69 H-1119 Budapest Hungary Process Control Research Group Computer and Automation Research Institute P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)0780391381

A constrained linear optimal control for a lowpower industrial gas turbine based on input-output linearization is proposed in this paper. It uses a nonlinear state space model of the gas turbine in input-affine form based on first engineering principles. According to the control aims the nonlinear model is inputoutput linearized and an LQ servo controller is developed for the linearized model. We have some additional constraints on the state and input variables of the closed-loop plant fed back by the LQ servo controller. These constraints can be kept in a simple way designing an MPT-controller. The complete control structure is investigated by simulation studies. © 2005 IEEE.

关键词： control theory

来源：评论

学校读者我要写书评

暂无评论

Constrained control of a low power industrial gas turbine based on input-output linearization

Constrained control of a low power industrial gas turbine ba...

引用

International Conference on control and Automation (ICCA)

作者： P. Ailer B. Pongracz G. Szederkenyi Knorr-Bremse Brake Systems Limited Budapest Hungary Process Control Research Group Computer and Automation Research Institute Budapest Hungary

A constrained linear optimal control for a low-power industrial gas turbine based on input-output linearization is proposed in this paper. It uses a nonlinear state space model of the gas turbine in input-affine form based on first engineering principles. According to the control aims the nonlinear model is input-output linearized and an LQ servo controller is developed for the linearized model. We have some additional constraints on the state and input variables of the closed-loop plant fed back by the LQ servo controller. These constraints can be kept in a simple way designing an MPT-controller. The complete control structure is investigated by simulation studies.

关键词： Gas industry Industrial control Turbines Power system modeling Engines State-space methods Servomechanisms Ducts Combustion Optimal control

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：