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Multi-Objective Load Distribution Optimization for Hot Strip Mills

Journal of Iron and Steel research International 2013年第2期20卷 27-32,61页

作者： JIA Shu-jin LI Wei-gang LIU Xiang-hua DU Bin Department of Automation and Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Automation Division of Research Institute Baosteel Group Corporation College of Information Science and Engineering Northeastern University Research Institute of Science and Technology Northeastern University

Load distribution is a key technology in hot strip rolling process, which directly influences strip product quality. A multi-objective load distribution model, which takes into account the rolling force margin balance, roll wear ratio and strip shape control, is presented. To avoid the selection of weight coefficients encountered in single objective optimization, a multi-objective differential evolutionary algorithm, called MaximinDE, is proposed to solve this model. The experimental results based on practical production data indicate that MaximinDE can obtain a good pareto-optimal solution set, which consists of a series of alternative solutions to load distribution. Decision-makers can select a trade-off solution from the pareto-optimal solution set based on their experience or the importance of ob- iectives. In comparison with the empirical load distribution solution, the trade-off solution can achieve a better per- formance, which demonstrates the effectiveness of the multi-objective load distribution optimization. Moreover, the conflicting relationship among different objectives can be also found, which is another advantage of multi-objective load distribution optimization.

关键词： hot strip mill load distribution multi-objective optimization

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Definition of distribution network tariffs considering distribution generation and demand response

Definition of distribution network tariffs considering distr...

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IEEE PES Transmission and Distribution Conference and Exposition

作者： Tiago Soares Pedro Faria Zita Vale Hugo Morais GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal GECAD - Knowledge Engineering and Decision-Support Research Center / IPP - Polytechnic Institute of Porto Automation and Control Group / Technical University of Denmark (DTU) Elektrovej build. 326 DK 2800 Kgs. Lyngby Denmark

The use of distribution networks in the current scenario of high penetration of Distributed Generation (DG) is a problem of great importance. In the competitive environment of electricity markets and smart grids, Demand Response (DR) is also gaining notable impact with several benefits for the whole system. The work presented in this paper comprises a methodology able to define the cost allocation in distribution networks considering large integration of DG and DR resources. The proposed methodology is divided into three phases and it is based on an AC Optimal Power Flow (OPF) including the determination of topological distribution factors, and consequent application of the MW-mile method. The application of the proposed tariffs definition methodology is illustrated in a distribution network with 33 buses, 66 DG units, and 32 consumers with DR capacity.

关键词： Load flow Resource management Equations Pricing Mathematical model Load management

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control Lyapunov function based feedback design for quasi-polynomial systems

Control Lyapunov function based feedback design for quasi-po...

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9th IFAC Symposium on Nonlinear control Systems, NOLCOS 2013

作者： Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Veszprem Hungary Process Control Research Group Computer and Automation Research Institute HAS Budapest Hungary

ISBN: (纸本)9783902823472

The aim of this work is to present an entropy-like Lyapunov function based dynamic feedback design technique for quasi-polynomial and Lotka-Volterra systems. It is shown, that the dynamic feedback design problem is equivalent to the feasibility of a bilinear matrix inequality. The problem is also formulated as a control Lyapunov function based feedback design when the Lyapunov function parameters are given, the solution of this problem can be obtained by solving a linear matrix inequality. The developed method is illustrated on a simple numerical example. © IFAC.

关键词： Design

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The application of saturation memetic algorithm in economic load dispatch

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computer Modelling and New Technologies 2014年第9期18卷 518-521页

作者： Wang, Jianguo Cong, Cong Qing, Xuhua Han, Xiao School of Automation Engineering Northeast Dianli University Jilin China School of Control and Computer Engineering North China Electric Power University Beijing China Jilin Electric Power Research Institute Jilin China College of Information Engineering Northeast Dianli University Jilin China

To solve a nonlinear constrained economic load dispatch (ELD) problem in which the minimized generation cost is taken as objective and valve point effect of thermal units and operation constraints of power grid are taken into account. A saturation memetic algorithm was presented. To avoid the blindness in the search by the proposed using saturation increase efficiency and using adaptive penalty function to deal constraints. Calculation results of 3-machine system verify the effectiveness of the proposed algorithm. Compared with the other existing techniques, the proposed algorithm has been found to perform better. This method seems to be a promising alternative approach for solving the ELD problems in practical power system.

关键词： Electric power plant loads

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Neural Robust Adaptive Hypersonic Flight control without Back-stepping

Neural Robust Adaptive Hypersonic Flight Control without Bac...

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2014中国制导、导航与控制学术会议

作者： Shixing Wang Fuchun Sun Yongquan Zhang Bin Xu Yiwei Zhang Department of Control Engineering Naval Aeronautical and Astronautical UniversityYantaiChina Department of Computer Science and TechnologyTsinghua UniversityBeijingChina Systems Engineering Research InstituteChina State Shipbuilding Corporation School of AutomationNorthwestern Polytechnical UniversityXi''anChina

ISBN: (纸本)9781479946983

In this paper,one robust adaptive controller is proposed for hypersonic flight dynamics with high gain observer (HGO) and neural networks (NNs).For the attitude subsystem,it contains flight path angle,pitch angle and pitch *** avoid the complex back-stepping design,the dynamics are transformed into the normal feedback *** HGO estimating the newly defined states,the controller is proposed with error feedback,NN approximation and the robust *** is proved that the NN weights and filtered tracking error are guaranteed in the semiglobal *** simulation with March 15 is conducted to show the effectiveness of the proposed method.

关键词： adaptive control aerospace control neurocontrollers robust control HGO estimating NN approximation attitude subsystem complex backstepping design error feedback filtered tracking error flight path angle high gain observer hypersonic flight dynamics neural networks neural robust adaptive hypersonic flight control normal feedback form pitch angle pitch rate robust item semiglobal sense Adaptive systems Approximation methods Artificial neural networks Educational institutions Robustness Vectors Vehicle dynamics

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Distributed parameter modeling of single-mast stacker crane structures

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Periodica Polytechnica Transportation engineering 2014年第1期42卷 1-9页

作者： Hajdu, Sándor Gáspár, Péter Department of Mechanical Engineering University of Debrecen Ótemeto u. 2-4. H-4028 Debrecen Hungary Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary

This paper presents distributed parameter dynamical modeling capabilities of single-mast stacker crane structures. In the frame structure of stacker cranes due to external excitation or inertial forces undesirable structural vibrations may arise. These vibrations reduce the stability and positioning accuracy of stacker crane and causes increasing cycle time of storage/ retrieval operation. Thus it is necessary to investigate of these vibrations. In this paper the dynamical behavior of single-mast stacker cranes is approximated by means of distributed parameter models. The first model is a cantilever beam model with uniform material and cross-sectional properties. This model is used to demonstrate fundamental properties of Euler-Bernoulli beam models. The second model is cantilever beam model with variable cross-sectional properties and lumped masses. The eigenfrequencies and mode shapes of this mast-model are determined by means transfer matrix method. In the third model the whole structure of single-mast stacker crane is modeled. Beside the eigenfrequencies and mode shapes of this model the Bodediagrams of frequency response function is also calculated.

关键词： Cantilever beams

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Index Modulated OFDM with Interleaved grouping for V2X Communications

Index Modulated OFDM with Interleaved Grouping for V2X Commu...

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17th International IEEE Conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems engineering Conference 2014

作者： Xiang Cheng Miaowen Wen Liuqing Yang Yuke Li School of Electronics Engineering and Computer Science Peking University National Mobile Communications Research Laboratory Southeast University School of Electronic and Information Engineering South China University of Technology State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

The rapid penetration of intelligent transportation systems（ITS） into the conventional transportation infrastructure urgently calls for high spectral efficiency high reliability communication technology for vehicle-to-vehicle and vehicle-to-infrastructure（V2X） *** orthogonal frequency division multiplexing（OFDM） is widely considered as a promising candidate for such applications,in this paper we propose a novel variation of OFDM for improved spectral efficiency as well as enhanced reliability in V2 X channels with correlated frequency-selective fading and inevitable Doppler *** proposed scheme is built upon a recently emerging technique termed as index modulated（IM-）***,different from the existing localized subcarrier grouping,we propose interleaved subcarrier *** then carry out analytical and simulated comparisons to demonstrate the merits of this new scheme in terms of both the bit error rate（BER）performance and the maximum achievable rate（MAR） of the overall system,in V2 X channels.

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Robust fault tolerant control on distributed networked control systems with quantized states

Robust fault tolerant control on distributed networked contr...

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World Congress on Intelligent control and automation (WCICA)

作者： Yang Ge Jingcheng Wang Yi Zhang Kang Li Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Shanghai China Shanghai Urban-Rural Construction and Transportation Development Research Institute Shanghai China Electrical Engineering and Computer Science Queen's University Belfast Belfast UK

The distributed networked control systems are considered in this paper. Several sub-systems which are connected with each other through a communication network make up the whole system. Each sub-system has its own quantizer so that any information which needs be transmitted to other sub-systems will be quantized due to limited bandwidth. Meanwhile, the actuator faults, including outage, loss of effectiveness and stuck are also considered in our research. A mode-based state feedback controller is given in this paper to stable such NCSs and to meet the robust H-inf performance. A simulation example is proposed to illustrate the effectiveness of our method finally.

关键词： Quantization (signal) Networked control systems State feedback Closed loop systems Communication networks Actuators Fault tolerance

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The IMC-PID controller Design for TITO Process Using Closed-loop Identification Method

The IMC-PID Controller Design for TITO Process Using Closed-...

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International Conference on control, automation, Robotics & Vision

作者： XiaoFeng Li Ruiyuan Wu Weidong Zhang Instrument and Power Plant Control Department Electric Power Research Institute of Guangdong Power Group Co. Guangzhou 510080. China School of Electronic and Information Engineering South China University of Technology Guangzhou China Department of Automation Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781479952007

A new auto-tuning method is presented in this paper for the TITO process with time delay. The first step is to identify the process model and the second step is to design the IMC-PID controller. In the identifying procedure, both the bias relay test and the idea relay test are involved to identify the model. The important feature of the proposed method is that it does not require the prior information about the process and the steady-state process gain can be directly obtained. In the second step, this method is used to design the IMC-PID controller of the TITO control system. The new auto-tuning scheme is implemented through the function code in typical DCSs (EDPF-NT, OVATION, Symphony, etc) and is used in 300MW fossil-fuel units. The industrial applications show that the scheme achieves better performance in specific load variation range.

关键词： System identification relay feedback test Robust control TITO Automatic generation control

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Highlights from the 11th ISCB Student Council Symposium 2015. Dublin, Ireland. 10 July 2015

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BMC bioinformatics 2016年第3期17 Suppl 3卷 95页

作者： Katie Wilkins Mehedi Hassan Margherita Francescatto Jakob Jespersen R. Gonzalo Parra Bart Cuypers Dan DeBlasio Alexander Junge Anupama Jigisha Farzana Rahman Griet Laenen Sander Willems Lieven Thorrez Yves Moreau Nagarajan Raju Sonia Pankaj Chothani C. Ramakrishnan Masakazu Sekijima M. Michael Gromiha Paddy J Slator Nigel J Burroughs Przemysław Szałaj Zhonghui Tang Paul Michalski Oskar Luo Xingwang Li Yijun Ruan Dariusz Plewczynski Giulia Fiscon Emanuel Weitschek Massimo Ciccozzi Paola Bertolazzi Giovanni Felici Pieter Meysman Manu Vanaerschot Maya Berg Hideo Imamura Jean-Claude Dujardin Kris Laukens Westa Domanova James R. Krycer Rima Chaudhuri Pengyi Yang Fatemeh Vafaee Daniel J. Fazakerley Sean J. Humphrey David E. James Zdenka Kuncic Plant Pathology and Plant-Microbe Biology Section School of Integrative Plant Science Cornell University Ithaca USA Graduate Field of Computational Biology Cornell University Ithaca USA School of Computing & Mathematics University of South Wales Cardiff UK Department of Genome Biology for Neurodegenerative Diseases German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association ᅟ Germany Department of Surgery Massachusetts General Hospital The Broad Institute of MIT and Harvard Boston USA Department of Systems Biology Technical University of Denmark Kemitorvet Denmark Protein Physiology Lab Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires Buenos Aires Argentina Molecular Parasitology Unit (MPU) Institute of Tropical Medicine Antwerp Belgium Advanced Database Research and Modeling (ADReM) research group University of Antwerp Antwerpen Belgium Department of Computer Science University of Arizona Tucson USA Department of Veterinary Clinical and Animal Sciences Center for non-coding RNA in Technology and Health University of Copenhagen Copenhagen Denmark University College Dublin Dublin Ireland Department of Electrical Engineering (ESAT) STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Leuven Belgium Minds Medical IT Department Leuven Belgium Scientific Institute of Public Health (WIV-ISP) Platform of Biotechnology and Molecular Biology (PBB) Brussels Belgium Department of Development and Regeneration @ Kulak KU Leuven Kortrijk Belgium Department of Biotechnology Bhupat and Jyoti Metha School of Biosciences Indian Institute of Technology Madras Chennai India Philips Research North America Briarcliff Manor USA Global Scientific Information and Computing Center (GSIC) Tokyo Institute of Technology Tokyo Japan Systems Biology Centre University of Warwick Senate House Coventry UK Systems Biology Doctoral Training Centre University of Warwick Senate House Coventry UK Center for B

A1 Highlights from the eleventh ISCB Student Council Symposium 2015 Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman O1 Prioritizing a drug’s targets using both gene expression and structural similarity Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau O2 Organism specific protein-RNA recognition: A computational analysis of protein-RNA complex structures from different organisms Nagarajan Raju, Sonia Pankaj Chothani, C. Ramakrishnan, Masakazu Sekijima; M. Michael Gromiha O3 Detection of Heterogeneity in Single Particle Tracking Trajectories Paddy J Slator, Nigel J Burroughs O4 3D-NOME: 3D NucleOme Multiscale Engine for data-driven modeling of three-dimensional genome architecture Przemysław Szałaj, Zhonghui Tang, Paul Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski O5 A novel feature selection method to extract multiple adjacent solutions for viral genomic sequences classification Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici O6 A Systems Biology Compendium for Leishmania donovani Bart Cuypers, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens O7 Unravelling signal coordination from large scale phosphorylation kinetic data Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic

关键词： Visceral Leishmaniasis Feature Selection Method Frequent Itemset Mining Leishmania Donovani Student Council

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