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A Novel Fusion Strategy for E-MAP Missing Value Imputation

IFAC Proceedings Volumes 2011年第1期44卷 6178-6183页

作者： Xiao-Yong Pan Ye Tian Li-Xiu Yao Hong-Bin Shen Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 School of Aerospace and Astronautic Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

Abstract Epistatic miniarray profiling (E-MAP) is powerful for measuring gene biological relevance. However, E-MAP suffers from large number of missing values, and in order to use the E-MAP information more efficiently, the missing values have to be estimated. In this paper, considering advantages and disadvantages of different independent algorithms, we proposed a novel fusion approach based on the high-level diversity to estimate missing values that consists of two global and four local base estimators. Experiment results show our fusion scheme is more effective and robust for the missing value imputations and outperforms all single base algorithms on E-MAP data.

关键词： Missing value estimation E-MAP Ensemble estimator

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Visual tracking of robots in uncalibrated environments

Visual tracking of robots in uncalibrated environments

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2011 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Hesheng Wang Weidong Chen Zhongli Wang Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University China School of Electronic and Information Engineering Beijing Jiaotong University Beijing China

This paper presents a new adaptive controller for visual tracking control of a robot manipulator in 3D general motion with a fixed camera whose intrinsic and extrinsic parameters are uncalibrated. In addition to camera parameters, the feature positions in 3D space are also assumed unknown. Based on the fact that the unknown parameters appears linearly in the closed-loop dynamics of the system if the depth-independent interaction matrix is adopted to map the image errors onto the joint space of the manipulator, we developed a new adaptive algorithm to estimated the unknown parameters on-line. With a full consideration of dynamic responses of the robot manipulator, we employ the Lyapunov method to prove asymptotic convergence of the image errors. Experimental results are used to demonstrate the performance of the proposed approach.

关键词： Cameras Robot vision systems Trajectory Manipulator dynamics Joints

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Coal-fired boiler ash deposition monitoring technology of economizer

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Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 2011年第SUPPL. 1期41卷 285-287页

作者： Wang, Bin Wang, Jing-Cheng Shi, Yuan-Hao Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiaotong University Shanghai 200240 China

For the purpose of realization of ash deposition monitoring and optimal operation of sootblowing, taking the economizer as the research object and the cleanliness factor as the measurement of the degree of pollution of heating surface, based on the principle of heat balance, a model of heating surface ash deposition was being established. The model considered the impact of changing conditions, and added radiation heat transfer as sub-module. Finally, with offline data to calculate the model, it is verified that the model is reasonable.

关键词： Deposition

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Data-driven process monitoring method based on dynamic component analysis

Data-driven process monitoring method based on dynamic compo...

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Chinese control Conference (CCC)

作者： Guangming Zhang Ning Li Shaoyuan Li Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China Department of Automation Ministry of Education of China Shanghai P. R. China

A novel data-driven process monitoring method based on dynamic independent component analysis-principle component analysis (DICA-DPCA) is proposed to compensate for shortcomings in the conventional component analysis based monitoring methods. The primary idea is to first augment the measured data matrix to take the process dynamic into account. Then perform independent component analysis (ICA) and principle component analysis (PCA) on the augmented data to capture both the non-Gaussian and Gaussian process information. Finally, a combined monitoring statistic is proposed by support vector data description (SVDD) with its control limit being determined by bootstrap quantile estimation method to lessen monitoring work-load. The Tennessee Eastman process is used to demonstrate the improved monitoring performance of the proposed mechanism in comparison with existing component analysis based monitoring methods, including PCA, ICA, ICA-PCA, dynamic PCA, and dynamic ICA.

关键词： Monitoring Principal component analysis Process control Estimation Data mining Support vector machines Training

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Dynamic average consensus estimation over stochastically switching network via quantization communication

Dynamic average consensus estimation over stochastically swi...

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Chinese control Conference (CCC)

作者： Dequan Li Qipeng Liu Xiaofan Wang Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China Department of Automation Ministry of Education of China Shanghai P. R. China

In this paper, we consider the problem that a group of agents aims to compute the average of individually estimated noisy parameters by sharing information among a random network of digital links. In this scenario, the average consensus seeking is involved in a two-step procedure. First, each agent estimates the local time-varying parameters individually, and then agents average their estimations by interaction with neighbors through quantized communication. Impact of quantization on the performance of the proposed distributed algorithm is investigated. We prove that the agents' states converge to a random variable that deviates from the average of the estimated parameters. We derive an upper bound for the asymptotic residual mean square error of the states, which captures effects of the quantization precision and the structure of the random communication networks.

关键词： Quantization Heuristic algorithms Estimation Probabilistic logic Mean square error methods Noise Symmetric matrices

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Angle restriction enhances synchronization of self-propelled objects

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Physical Review E 2011年第4期84卷 046115-046115页

作者： Jianxi Gao Shlomo Havlin Xiaoming Xu H. Eugene Stanley Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 PR China Center for Polymer Studies and Department of Physics Boston University Boston Massachusetts 02215 USA Department of Physics Bar-Ilan University IL-52900 Ramat-Gan Israel

Understanding the synchronization process of self-propelled objects is of great interest in science and technology. We propose a synchronization model for a self-propelled objects system in which we restrict the maximal angle change of each object to θR. At each time step, each object moves and changes its direction according to the average direction of all of its neighbors (including itself). If the angle change is greater than a cutoff angle θR, the change is replaced by θR. We find that (i) counterintuitively, the synchronization improves significantly when θR decreases, (ii) there exists a critical restricted angle θRc at which the synchronization order parameter changes from a large value to a small value, and (iii) for each noise amplitude η, the synchronization as a function of θR shows a maximum value, indicating the existence of an optimal θR that yields the best synchronization for every η.

关键词： NOISE SYNCHRONIZATION ROBOTS STOCHASTIC convergence MATHEMATICS

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Robust filtering for networked systems with random transmission delays and packet dropouts

Robust filtering for networked systems with random transmiss...

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作者： Cai, Yunze Wang, Hua O. Tanaka, Kazuo Xu, Xiaoming Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing 800 Dongchuan Rd. Shanghai 200240 China Department of Mechanical Engineering Boston University Boston MA 02215 United States Department of Mechanical Systems and Intelligent Systems University of Electro-Communications Tokyo 182-8585 Japan Department of Automation Shanghai Jiao Tong University 800 Dongchuan Rd. Shanghai 200240 China University of Shanghai for Science and Technology 16 Jun Gong Rd. Shanghai 200093 China

ISBN: (纸本)9781457700804

This paper addresses a robust H∞ filtering problem for networked systems that are subject to both random transmission delays and packet dropouts. To start with, a data transmission model is established by employing random series with Bernoulli distributions. A sufficient condition for robust stability with H∞ constraints is derived for the filtering error system. The robust filter is designed in terms of the feasibility of a linear matrix inequality (LMI). The numerical examples are provided to show the effectiveness of the data transmission model and the proposed filtering method. © 2011 AACC American Automatic control Council.

关键词： Linear matrix inequalities

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Robust Filtering for Networked systems with Random Transmission Delays and Packet Dropouts

Robust Filtering for Networked Systems with Random Transmiss...

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2011 American control Conference (ACC)

作者： Yunze Cai Hua O. Wang Kazuo Tanaka Xiaoming Xu Department of Mechanical Engineering Boston University Boston MA USA Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China Department of Mechanical Systems and Intelligent Systems University of Electro-Communications Tokyo Japan Department of Automation Shanghai Jiaotong University Shanghai China University of Shanghai for Science and Technology Shanghai China

This paper addresses a robust H_(infinity) filtering problem for networked systems that are subject to both random transmission delays and packet dropouts. To start with, a data transmission model is established by employing random series with Bernoulli distributions. A sufficient condition for robust stability with H_(infinity) constraints is derived for the filtering error system. The robust filter is designed in terms of the feasibility of a linear matrix inequality (LMI). The numerical examples are provided to show the effectiveness of the data transmission model and the proposed filtering method.

关键词： Delay Filtering Robustness Data models Symmetric matrices Hidden Markov models Markov processes

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Containment control of networked Lagrange systems with group dispersion and cohesion behaviors

Containment control of networked Lagrange systems with group...

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Chinese control Conference (CCC)

作者： Ziyang Meng Zongli Lin Wei Ren Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville 22904-4743 U.S.A. Department of Electrical and Computer Engineering Utah State University Logan 84322 U.S.A.

In this paper, distributed containment control with group dispersion and cohesion behaviors are discussed for a group of Lagrange systems. Both the cases of constant leaders' generalized coordinate derivatives and time-varying leaders' generalized coordinate derivatives are considered. The proposed control algorithms are shown to obtain velocity matching, connectivity maintenance and collision avoidance. In addition, the sum of the steady-state distances between followers and the convex hull formed by the leaders is shown to be bounded and this bound is explicitly given.

关键词： Lead Dispersion Topology Sensors Laplace equations Maintenance engineering Algorithm design and analysis

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NVIDIA GTX200: TeraFLOPS visual computing

NVIDIA GTX200: TeraFLOPS visual computing

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IEEE Hot Chips Symposium (HCS)

作者： John Tynefield Key Laboratory of System Control and Information Processing Ministry of Education of China and Shanghai Key Laboratory of Navigation and Location Services Shanghai Jiao Tong University Shanghai China

This article consists of a collection of slides from the author's conference presentation. Some of the specific conclusions presented/discussed include: Rebalanced architecture to workload trends; Scaled from 128 to 240 processors; Hardware manages thousands of threads; Zero software overhead; Hides huge latencies; High achieved utilization; Natively Scalar; No swizzling or vectorization overhead; Coalescing for high bandwidth memory I/O; Software architecture allows 2X scaling on customer C code with no modification.

关键词： Multithreading Graphics processing units Software architecture Processor scheduling Multiprocessing systems Computer architecture Parallel processing

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