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2015 IEEE Advanced Information Technology,Electronic and Automation control Conference(IAEAC 2015)

作者： Ying Ji Jianhui Wang Shijie Yan Wenzhong Gao Hepeng Li College of Information Science and Engineering Northeastern University Department of Electrical and Computer Engineering University of Denver Lab.of Networked Control Systems Shenyang Institute of AutomationChinese Academy of Sciences

ISBN: (纸本)9781479919819

In this paper,we focus on energy management of distributed generators(DGs) and energy storage system(ESS) in microgrids(MG) considering uncertainties in renewable energy and load *** MG energy management problem is formulated as a two-stage stochastic programming model based on optimization ***,the optimization model is decomposed into a mixed integer quadratic programming problem by using discrete stochastic scenarios to approximate the continuous random variables.A Scenarios generation approach based on time-homogeneous Markov chain model is proposed to generate simulated time-series of renewable energy generation and load ***,the proposed stochastic programming model is tested in a typical LV network and solved by Matlab optimization *** simulation results show that the proposed stochastic programming model has a better performance to obtain robust scheduling solutions and lower the operating cost compared to the deterministic optimization modeling methods.

关键词： microgrid EMS Markov chain stochastic optimization

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Passivity-Based control of Robots: Historical Perspective and Contemporary Issues

Passivity-Based Control of Robots: Historical Perspective an...

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IEEE Annual Conference on Decision and control

作者： Takeshi Hatanaka Nikhil Chopra Mark W. Spong Department of Mechanical and Control Engineering Tokyo Institute of Technology JAPAN Department of Mechanical Engineering University of Maryland USA Erik Jonsson School of Engineering and Computer Science University of Texas at Dallas

ISBN: (纸本)9781479978878

Passivity is one of the most physically appealing concepts in systems and control theory. The stored internal energy in a passive system is bounded from above by the externally supplied energy. It is well known that this energy dissipation property has important implications for closed-loop stability. Additionally, the passivity property is preserved with respect to feedback and parallel interconnections of passive systems. This composability property of passive systems is crucial in designing and analyzing highly networked systems. Due to these desirable features, the passivity paradigm has been widely utilized to achieve outstanding success in robot control, which is the main focus of the session. The tutorial session starts with a historical perspective on passivity-based robot control and its broad applicability to several important problems in robotics. Despite the long history, passivity-based robot control is being actively utilized in addressing emerging problems in robot control. Hence, the remainder of the session presents application of passivity-based robot control to address important research issues in bilateral teleoperation, visual feedback estimation and robot control, cooperative robot control, and mixed human-robot teams.

关键词： Robot control Passivity Robot control Theory

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Simulation Research on Dynamic Matrix control of Middle Speed Mill

Simulation Research on Dynamic Matrix Control of Middle Spee...

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2015 3rd International Conference on Machinery,Materials and Information Technology Applications(ICMMITA 2015)

作者： Shihe CHEN Xi ZHANG Shubin Xiao Peng Liao Haihua Xiao Jianguo DUAN Li ZHANG Yuguang NIU Zhongwei LIN Electric Power Research Institute of Guangdong Power Grid Corporation Changsha University of Science and Technology Guangxi University School of control & computer engineering North China Electric power University

By using the on-site parameters from the middle speed mill（MSM） of the power plant, the mathematical model of middle speed mill is given by using the test-modeling method. Based on the obtained model, the dynamic matrix control（DMC） of middle speed mill is introduced in MATLAB/SIMULATION environmental. The impact of the parameters of the DMC controller on the final outputs of MSM have been widely studied, such as model mismatch, variations of the prediction and control horizons, and interruption time. The simulations are performed in comparison with the convention proportion integration differentiation（PID） controller. The results show that the introduced DMC provides a desired performance.

关键词： Thermal Power Plant Dynamic Matrix control Middle Speed Mill Dynamic Simulation

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Cellular sensor-processor array based visual collision warning sensor

Cellular sensor-processor array based visual collision warni...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Ákos Zarándy Máté Németh Borbála Pencz Zoltán Nagy Tamás Zsedrovits Institute for Computer Science and Control of the Hungarian Academy of Sciences (MTA-SZT AKI) Budapest The Faculty of Information Technology Pázmány Péter Catholic University Budapest Hungary

Autonomous UAVs need on-board vision system to be able to navigate, avoid collisions, and execute missions. Small UAVs can carry small form factor vision system with low power consumption due to natural payload limitations. Therefore it is a natural idea to use cellular sensor-processor arrays to implement the necessary vision functions. In this paper, we present a UAV collision warning algorithm and its implementation on a 176×144 sized mixed-signal sensor-processor array. Besides the technical details of the implementation, the paper includes comparison with FPGA implementation of the same algorithm.

关键词： Arrays Aircraft Noise Field programmable gate arrays Machine vision Collision avoidance Kernel

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Efficient detection of viral transmission with threshold-based methods

Efficient detection of viral transmission with threshold-bas...

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IEEE International Conference on Computational Advances in Bio and Medical sciences (ICCABS)

作者： Inna Rytsareva David S. Campo Yueli Zheng Seth Sims Cansu Tetik Jain Chirag Sriram P. Chockalingam Sharma V. Thankachan Amanda Sue Srinivas Aluru Yury Khudyakov Division of Viral hepatitis Centers for Disease Control and Prevention Atlanta USA Eagle Medical Services Centers for Disease Control and Prevention Atlanta USA School of Computational Science and Engineering Georgia Institute of Technology Atlanta USA Dept. of Computer Science and Engineering IIT Bombay Mumbai India

Hepatitis C is a major public health problem in the United States and worldwide. Outbreaks of hepatitis C virus (HCV) infections associated with unsafe injection practices, drug diversion, and other exposures to blood are difficult to detect and investigate. Molecular analysis has been frequently used in the study of HCV outbreaks and transmission chains; helping identify a cluster of sequences as linked by transmission if their genetic distances are below a previously defined threshold. However, HCV exists as a population of numerous variants in each infected individual and it has been observed that minority variants in the source are often the ones responsible for transmission, a situation that precludes the use of a single sequence per individual because many such transmissions would be missed. The use of Next-Generation Sequencing immensely increases the sensitivity of transmission detection but brings a considerable computational challenge because all sequences need to be compared among all pairs of samples. For instance, our relatively small dataset of 401 samples, a total of 80200 pairwise sample comparisons must be performed, which account for 4.56 x 1010 pairwise sequence comparisons. We present a fast and efficient three-step filtering strategy that removes 85.1% of all the pairwise sample comparisons and 91.0% of all pairwise sequence comparisons, accurately establishing which pairs of HCV samples are below the relatedness threshold This electronic document is a “live” template and already defines the components of your paper [title, text, heads, etc.] in its style sheet.

关键词： Bioinformatics Diseases Filtering Genetics Scientific computing Drugs Sequential analysis

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Low-Rank Tensor Constrained Multiview Subspace Clustering

Low-Rank Tensor Constrained Multiview Subspace Clustering

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International Conference on computer Vision (ICCV)

作者： Changqing Zhang Huazhu Fu Si Liu Guangcan Liu Xiaochun Cao School of Computer Science and Technology Tianjin University Institute for Infocomm Research Technology and Research Singapore State Key Laboratory of Information Security Chinese Academy of Sciences School of Information and Control Nanjing University of Information Science and Technology

ISBN: (纸本)9781467383929

In this paper, we explore the problem of multiview subspace clustering. We introduce a low-rank tensor constraint to explore the complementary information from multiple views and, accordingly, establish a novel method called Low-rank Tensor constrained Multiview Subspace Clustering (LT-MSC). Our method regards the subspace representation matrices of different views as a tensor, which captures dexterously the high order correlations underlying multiview data. Then the tensor is equipped with a low-rank constraint, which models elegantly the cross information among different views, reduces effectually the redundancy of the learned subspace representations, and improves the accuracy of clustering as well. The inference process of the affinity matrix for clustering is formulated as a tensor nuclear norm minimization problem, constrained with an additional L2,1-norm regularizer and some linear equalities. The minimization problem is convex and thus can be solved efficiently by an Augmented Lagrangian Alternating Direction Minimization (AL-ADM) method. Extensive experimental results on four benchmark datasets show the effectiveness of our proposed LT-MSC method.

关键词： Tensile stress Correlation Clustering methods Minimization Kernel Optimization Aerospace electronics

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Cooperative control in production and logistics

Cooperative control in production and logistics

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作者： Monostori, László Valckenaers, Paul Dolgui, Alexandre Panetto, Hervé Brdys, Mietek Csáji, Balázs Csanád Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 BudapestH-1111 Hungary Faculty of Mechanical Engineering Budapest University of Technology and Economics Hungary Department of Health Care and Technology KHLeuven Belgium LIMOS UMR 6158 CNRS Ecole Nationale Supérieure des Mines de Saint-Etienne France CNRS CRAN UMR 7039 France Université de Lorraine CRAN UMR 7039 France School of Electronic Electrical and Computer Engineering University of Birmingham United Kingdom Department of Control Systems Engineering Gdansk University of Technology Gdansk Poland

Classical applications of control engineering and information and communication technology (ICT) in production and logistics are often done in a rigid, centralized and hierarchical way. These inflexible approaches are typically not able to cope with the complexities of the manufacturing environment, such as the instabilities, uncertainties and abrupt changes caused by internal and external disturbances, or a large number and variety of interacting, interdependent elements. A paradigm shift, e.g., novel organizing principles and methods, is needed for supporting the interoperability of dynamic alliances of agile and networked systems. Several solution proposals argue that the future of manufacturing and logistics lies in network-like, dynamic, open and reconfigurable systems of cooperative autonomous entities. The paper overviews various distributed approaches and technologies of control engineering and ICT that can support the realization of cooperative structures from the resource level to the level of networked enterprises. Standard results as well as recent advances from control theory, through cooperative game theory, distributed machine learning to holonic systems, cooperative enterprise modeling, system integration, and autonomous logistics processes are surveyed. A special emphasis is put on the theoretical developments and industrial applications of Robustly Feasible Model Predictive control (RFMPC). Two case studies are also discussed: (i) a holonic, PROSA-based approach to generate short-term forecasts for an additive manufacturing system by means of a delegate multi-agent system (D-MAS);and (ii) an application of distributed RFMPC to a drinking water distribution system. © 2015 Elsevier Ltd.

关键词： Model predictive control

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GFS algorithm based on batch Monte Carlo trials for solving global optimization problems

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AIP Conference Proceedings 2016年第1期1776卷

作者： Yuri S. Popkov Boris S. Darkhovskiy Alexey Y. Popkov 1Institute for Systems Analysis of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences Moscow Russia 2Institute of Physics and Technology (State University) Moscow Russia 3National Research University “Higher School of Economics” Moscow Russia

A new method for global optimization of Hölder goal functions under compact sets given by inequalities is proposed. All functions are defined only algorithmically. The method is based on performing simple Monte Carlo trials and constructing the sequences of records and the sequence of their decrements. An estimating procedure of Hölder constants is proposed. Probability estimation of exact global minimum neighborhood using Hölder constants estimates is presented. Results on some analytical and algorithmic test problems illustrate the method’s performance.

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Simulation validation of the model-based control of the plate heat exchanger with on-line compensation for modelling inaccuracies 4

Simulation validation of the model-based control of the plat...

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4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2014

作者： Fratczak, Michal Czeczot, Jacek Nowak, Pawel Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Institute of Automatic Control Gliwice Poland

ISBN: (纸本)9789897580383

This paper describes the stage of initial validation of the model-based control of the plate heat exchanger (PHE) by simulation. For the distributed parameter model of PHE validated on the basis of the measurement data collected from the real process, the approximation by the orthogonal collocation method is applied and then the linearizing controller with the on-line compensation for the potential modelling inaccuracies is suggested. This approach ensures relatively low computational complexity due to the low dimension of the approximating dynamical model, which allows for its practical implementation in the programmable logic controllers. The suggested controller is tested by simulation under the realistic experiments scenario and it shows its superiority and robustness over the conventional PI controller, for both tracking and disturbances rejection. The results show that the suggested concept can be considered as an interesting model-based alternative for the PID-based control systems that are still widely applied in the industrial practice. © 2014 SciTePress. All rights reserved.

关键词： controllers

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Analysis of Parallel Processor Architectures for the Solution of the Black-Scholes PDE

Analysis of Parallel Processor Architectures for the Solutio...

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IEEE International Symposium on Circuits and Systems

作者： Endre Laszlo Zoltan Nagy Michael B. Giles Istvan Reguly Jeremy Appleyard Peter Szolgay Pazmany Peter Catholic University Budapest Hungary Hungarian Academy of Sciences Institute for Computer Science and Control Budapest Hungary University of Oxford Oxford United Kingdom NVIDIA Corporation United Kingdom

ISBN: (纸本)9781479983926

Common parallel computer microarchitectures offer a wide variety of solutions to implement numerical algorithms. The efficiency of different algorithms applied to the same problem vary with the underlying architecture which can be a multi-core CPU, many-core GPU, Intel's MIC (Many Integrated Core) or FPGA architecture. Significant differences between these architectures exist in the ISA (Instruction Set Architecture) and the way the compute flow is executed. The way parallelism is expressed changes with the ISA, thread management and customization available on the device. These differences pose restrictions to the implementable algorithms. The aim of the work is to analyze the efficiency of the algorithms through the architectural differences. The problem at hand is the one-factor Black-Scholes option pricing equation which is a parabolic PDE solved with explicit and implicit time-marching algorithms. In the implicit solution a scalar tridiagonal system of equations needs to be solved. The possible CPU, GPU implementations along with novel FPGA solutions with HLS (High Level Synthesis) will be shown. Performance is also analyzed and remarks on efficiency are made.

关键词： ARCHITECTURE Processor Architectures Building construction implicit solution concurrent processor algorithm efficiency algorithms System of equations central processing units Field programmable gate arrays

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