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Chinese Control and Decision Conference, CCDC

作者： Dongli Wang Huaping Liu Fuchun Sun Yonggui Du Automation college of information engineering Taiyuan university of technology 030024 china Tsinghua national laboratory for information science and technology state key laboratory of intelligent technology and systems department of computer science and technology tsinghua university Beijing 100084 china

It is very difficult to capture the target in the microgravity environment, simply by relying on ground operators. Based on shared control theory, this paper effectively combines the decision-making ability of ground operators and the independent ability of space robot, through making full use of independent control ability of the space robot, and reducing operators' workload and working time, to achieve more valid capture for targets. Shared control is more accurate capture of the target compared with teleoperation in experimental.

关键词： Aerospace electronics Robot kinematics Grippers Control systems Solid modeling Heuristic algorithms

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Doubly selective channel estimation for amplify-and-forward relay networks

Doubly selective channel estimation for amplify-and-forward ...

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IEEE Conference on Wireless Communications and Networking

作者： Gongpu Wang Feifei Gao Jiaru Lin Chintha Tellambura School of Computer and Information Technology Beijing Jiaotong University China National Mobile Communications Research Laboratory South East University Nanjing China State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Automation Tsinghua University Beijing China Key Laboratory of Universal Wireless Communications Ministry of Education China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada

In this paper, the estimation of doubly selective channel is considered for amplify-and-forward (AF) relay networks. The complex exponential basis expansion model (CE-BEM) is chosen to describe the time-varying channel, from which the infinite channel parameters are mapped onto finite ones. Since direct estimation of these coefficients encounters high computational complexity and large spectral cost, we develop an efficient estimator targeting at some specially defined channel parameters. The training sequence design that can minimize the channel estimation mean-square error is also proposed.

关键词： Training Channel estimation Relays Wireless communication Educational institutions Estimation Vectors

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Multi-Stage Multi-Task Feature Learning* 12

Multi-Stage Multi-Task Feature Learning*

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Annual Conference on Neural information Processing systems

作者： Pinghua Gong Jieping Ye Changshui Zhang State Key Laboratory on Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology (TNList) Department of Automation Tsinghua University Beijing 100084 China Computer Science and Engineering Center for Evolutionary Medicine and Informatics The Biodesign Institute Arizona State University Tempe AZ 85287 USA

ISBN: (纸本)9781627480031

Multi-task sparse feature learning aims to improve the generalization performance by exploiting the shared features among tasks. It has been successfully applied to many applications including computer vision and biomedical informatics. Most of the existing multi-task sparse feature learning algorithms are formulated as a convex sparse regularization problem, which is usually suboptimal, due to its looseness for approximating an ?_0o-type regularizer. In this paper, we propose a non-convex formulation for multi-task sparse feature learning based on a novel regularizer. To solve the non-convex optimization problem, we propose a Multistage Multi-Task Feature Learning (MSMTFL) algorithm. Moreover, we present a detailed theoretical analysis showing that MSMTFL achieves a better parameter estimation error bound than the convex formulation. Empirical studies on both synthetic and real-world data sets demonstrate the effectiveness of MSMTFL in comparison with the state of the art multi-task sparse feature learning algorithms.

关键词： Learning learning algorithms Non-Convex Biomedical informatics Theoretical analysis Parameter estimation images computer vision state of the art Dataset Convexity Religious Missions SYNTHETICS

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Strategic Robust Mixed Model Assembly Line Balancing Based on Scenario Planning

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Tsinghua Science and Technology 2011年第3期16卷 308-314页

作者：徐炜达肖田元 National Laboratory for Information Science and Technology National Computer Integrated Manufacturing Systems Engineering Research CenterDepartment of AutomationTsinghua University

Assembly line balancing involves assigning a series of task elements to uniform sequential stations with certain restrictions. Decision makers often discover that a task assignment which is optimal with respect to a deterministic or stochastic/fuzzy model yields quite poor performance in reality. In real environments, assembly line balancing robustness is a more appropriate decision selection guide. A robust model based on the α worst case scenario is developed to compensate for the drawbacks of traditional robust criteria. A robust genetic algorithm is used to solve the problem. Comprehensive computational experiments to study the effect of the solution procedure show that the model generates more flexible robust solutions. Careful tuning the value of α allows the decision maker to balance robustness and conservativeness of as- sembly line task element assignments.

关键词： mixed model assembly line balancing robust scenario planning genetic algorithm

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Dynamical equivalence and linear conjugacy of biochemical reaction network models

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IFAC Proceedings Volumes 2012年第18期45卷 125-130页

作者： G. Szederkényi Z.A. Tuza K.M. Hangos Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute (MTA SZTAKI) Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary Faculty of Information Technology Péter Pázmány Catholic University H-1083 Budapest Práter u. 50/a

The distinguishability and identifiability of biological network models are key properties influencing the reliability of structural and parametric identification of such models. Recently, several new results have been published about dynamically equivalent and linearly conjugate reaction networks. In this paper, the notion and importance of dynamical equivalence and linear conjugacy of biochemical network models obeying the mass action law is shown. For this, new concepts in the form of core complexes and core reactions for linearly conjugate networks are introduced. Two examples illustrate the developed computation methods.

关键词： biological systems chemical reaction networks optimization

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{\cal U}Boost: Boosting with the Universum

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IEEE Transactions on Pattern Analysis and Machine Intelligence 2012年第4期34卷 825-832页

作者： Chunhua Shen Peng Wang Fumin Shen Hanzi Wang Australian Center for Visual Technologies and School of Computer Science University of Adelaide North Terrace SA Australia School of Automation Science and Electrical Engineering Beihang University Beijing China School of Computer Science and Technology Nanjing University of Science and Technology of PLA Nanjing China Cognitive Science Department School of Information Science and Technology and Fujian Key Laboratory of the Brain-like Intelligent Systems Xiamen University Xiamen Fujian China School of Computer Science University of Adelaide SA Australia

It has been shown that the Universum data, which do not belong to either class of the classification problem of interest, may contain useful prior domain knowledge for training a classifier [1], [2]. In this work, we design a novel boosting algorithm that takes advantage of the available Universum data, hence the name UBoost. UBoost is a boosting implementation of Vapnik's alternative capacity concept to the large margin approach. In addition to the standard regularization term, UBoost also controls the learned model's capacity by maximizing the number of observed contradictions. Our experiments demonstrate that UBoost can deliver improved classification accuracy over standard boosting algorithms that use labeled data alone.

关键词： Boosting Training Educational institutions Optimization Algorithm design and analysis Histograms Accuracy

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ℋ ∞ stabilisation of switched linear stochastic systems under dwell time constraints

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International Journal of Control 2012年第9期85卷 1209-1217页

作者： Huang, Ran huangran_asee@*** Lin, Yan Ge, Shuzhi Sam Lin, Zhongwei School of Automation Bejing University of Aeronautics and Aeronautics Beijing 100191 China Institute of Intelligent Systems and Information Technology School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China

Based on the determination of a minimum dwell time, this article addresses the problem of characterising a switching strategy for ℋ∞ stabilisation of switched linear stochastic systems with adapted external inputs. Sufficient conditions that assure exponential mean square stability and an ℋ∞ performance index are established by analysing the time evolution of the second-order moment of the state and a recursive dynamic programming inequality, respectively. Alternative conditions are derived for numerical implementations. The proposed method is illustrated by numerical simulations. [ABSTRACT FROM AUTHOR]

关键词： ℋ∞ control dwell time switched systems Wiener process

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Multiple-image encryption by compressive holography

Multiple-image encryption by compressive holography

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作者： Di, Hong Zheng, Kangfeng Zhang, Xin Lam, Edmund Y. Kim, Taegeun Kim, You Seok Poon, Ting-Chung Zhou, Changhe Information Security Center Beijing University of Posts and Telecommunications Beijing 100876 China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100190 China Imaging Systems Laboratory Department of Electrical and Electronic Engineering University of Hong Kong Pokfulam Road Hong Kong Hong Kong Department of Optical Engineering Sejong University 98 Kunja-dong Kwangjin-gu Seoul 134-747 Korea Republic of Bradley Department of Electrical and Computer Engineering Virginia Tech Blacksburg VA 24061 United States Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences P.O. Box 800-211 Shanghai 201800 China

We present multiple-image encryption (MIE) based on compressive holography. In the encryption, a holographic technique is employed to record multiple images simultaneously to form a hologram. The twodimensional Fourier data of the hologram are then compressed by nonuniform sampling, which gives rise to compressive encryption. Decryption of individual images is cast into a minimization problem. The minimization retains the sparsity of recovered images in the wavelet basis. Meanwhile, total variation regularization is used to preserve edges in the reconstruction. Experiments have been conducted using holograms acquired by optical scanning holography as an example. computer simulations of multiple images are subsequently demonstrated to illustrate the feasibility of the MIE scheme. © 2012 Optical Society of America.

关键词： Holograms

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Knowledge-based diagnosis of process systems using procedure HAZID information

Knowledge-based diagnosis of process systems using procedure...

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Lecture Notes in computer Science

作者： Werner-Stark, Ágnes Németh, Erzsébet Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary School of Chemical Engineering University of Queensland Brisbane QLD Australia Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary

ISBN: (纸本)9783642238536

Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state operation. In order to extend this approach for transient operating conditions controlled by operating procedures, the notion of nominal input-output event sequences of qualitative signals has been introduced, and the deviations used in the procedure HAZID analysis have been defined therefrom. The diagnosis can then be performed algorithmically by matching the deviation sequences of the observed input-output event sequences and the nominal ones generated by qualitative dynamic models. The concepts and methods are illustrated using a simple case study consisting of a simple tank, controlled by an operating procedure. © 2011 Springer-Verlag.

关键词： Hazards

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Experiment design for Pauli channel estimation

Experiment design for Pauli channel estimation

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作者： Balló, Gábor Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Egyetem u. 10 H-8200 Veszprém Hungary Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)9783902661937

Experiment design for quantum channel parameter estimation includes the design of the quantum input to the channel and the observables to be applied on the resulting quantum output system, called the experiment configuration. An experiment design procedure based on maximizing the Fisher information of the qubit Pauli channel parameters is presented in this paper. It can be shown that the Fisher information is a convex function in both the input and the experiment configuration parameters. This leads to an optimal setting that includes pure input states and projective measurements directed towards the channel directions. An iterative method of estimating the channel directions is also proposed. © 2011 IFAC.

关键词： Iterative methods

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