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检索条件"机构=Key Laboratory of System Control and Signal Processing"

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Social learning on networks with community structure

Social learning on networks with community structure

引用

International Conference on Modelling, Identification and control (ICMIC)

作者： He Huang Yucheng Wei Xiaofan Wang Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China

Almost all existing social learning models assume that there is only one type of agents in the society in order to avoid identification problem. In this work, we assume that there are various types of agents according to the communities they locate in. We design the rule of weight adjustment and testify that the updating rule with weight adjustment ensures learning on the whole social network. Furthermore, we show that how convergence speed is influenced by two updating-relevant parameters, and present instruction on how to attain the optimal social learning efficiency.

关键词： Communities Social network services Biological system modeling Bayesian methods Economics Convergence Silicon

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Spiking Neural P systems for Arithmetic Operations

Spiking Neural P Systems for Arithmetic Operations

引用

International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Xiangxiang Zeng Tao Song Linqiang Pan Xingyi Zhang Key Laboratory on Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China Key Laboratory of Intelligent Computing and Signal Processing School of Computer Science and Technology Anhui University Hefei Anhui China

Recently, Gutierrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices -- spiking neural P systems (for short, SN P systems). However, the binary encoding mechanism used in their research looks like the encoding approach in electronic circuits, instead of the style of spiking neurons (in usual SN P systems, information are encoded as the time interval between spikes). In this work, three SN P systems are constructed as adder, subtracter and multiplier, respectively. In these devices, a number is inputted to the system as the interval of time elapsed between two spikes received by input neuron, the result of a computation is the time between the moments when the output neuron spikes.

关键词： Neurons Tin Encoding Adders Educational institutions Generators Computational modeling

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Rolling and non-rolling subtitle detection with temporal and spatial analysis for news video

Rolling and non-rolling subtitle detection with temporal and...

引用

International Conference on Modelling, Identification and control (ICMIC)

作者： Liang Sang Jingqi Yan Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai Jiaotong University Shanghai China

In this paper, We have developed a rolling and non-rolling subtitle detection algorithm with temporal and spatial analysis for news video. This paper mainly includes rolling subtitle region detection, character segmentation for rolling subtitle, and non-rolling subtitle detection and location. While, most previous video text detection methods aimed at non-rolling subtitles, this paper proposed a detailed detection algorithm for both rolling and non-rolling subtitles in currently popular news video. The proposed algorithm makes good use of typical features of rolling subtitles, and is efficient for rolling character segmentation. For non-rolling subtitles, it utilizes edge features and connected component analysis of subtitle regions. In the experiments, we have tested the proposed algorithm with a series of news video and achieved good detection and segmentation results.

关键词： Image edge detection Logic gates Pixel Brightness Image color analysis Algorithm design and analysis Image segmentation

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Distributed optimal consensus filter for target tracking in heterogeneous sensor networks

Distributed optimal consensus filter for target tracking in ...

引用

Asian control Conference

作者： Shanying Zhu Cailian Chen Xinping Guan Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781612844879

In this paper, we address the problem of distributed consensus filter design for target tracking problems using heterogeneous sensor networks with two types of sensors. The type-I sensors have more computation power, while the type-II sensors are low-end ones. The main objective of this paper is to design distributed optimal consensus filters for these two types of sensors, respectively, to estimate the state of the target based on the noisy measurements. Our derivation of the optimal filter is based on the use of minimum principle of Pontryagin (for type-I sensors) coupled with the Lagrange multiplier method and the results of generalized inverse of matrices (for type-II sensors). Simulation studies are presented to validate the performance of the proposed filters.

关键词： Target tracking Robot sensing systems Kalman filters Integrated circuits Estimation error Cost function Trajectory

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Eyeglasses try-on based on improved poisson equations

Eyeglasses try-on based on improved poisson equations

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International Conference on Multimedia Technology

作者： Juan Li Jie Yang Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781612847719

In this paper we propose an image-based eyeglasses try-on method, which can be used in e-commerce. The proposed method combines an improved active shape model feature extration algorithm with an image composition algorithm, producing a natural facial image with eyeglasses specified by users. To preserve the color fidelity of the eyeglasses on the resulting image, a new variational model was proposed. The output image was obtained by solving the modified Poisson equations. Experimental results show that the eyeglasses image was blended into the facial image seamlessly, producing natural eyeglasses try-on effects.

关键词： Image color analysis Feature extraction Face Poisson equations Mathematical model Equations Three dimensional displays

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Estimation of Benchmark Performance for Nonlinear control systems

Estimation of Benchmark Performance for Nonlinear Control Sy...

引用

2011 American control Conference (ACC)

作者： Zhi Zhang Li-Sheng Hu Wen-Jun Shi Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China

During the last two decades, performance assessment of control systems has been receiving wide attention. However, estimation of the benchmark performance of nonlinear control systems still remains open. In this work, we consider an estimation problem of the benchmark performance when control loops are intervened by the complex non-differentiable nonlinearity. The considered nonlinearity includes control valve stiction of the control systems, as well as switching action involved by protection valves widely used in the safety-related control systems. Based on the idea of Lebesgue sampling, the paper proposes a novel threshold autoregressive model for unbiased estimation of the benchmark performance. Basically, the proposed method is based on the partitioning of the closed-loop routine operating data when it reaches certain thresholds. Modeling each partitioned regime as an autoregressive model, the prediction error variance as the benchmark performance can be obtained by the principle of pooled variance. A numerical example well shows the effectiveness of the proposed method.

关键词： Valves control systems Benchmark testing Estimation Time series analysis Computational modeling Safety

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Delay-dependent robust peak-to-peak filtering for stochastic systems with time-delay

Delay-dependent robust peak-to-peak filtering for stochastic...

引用

International Conference on Modelling, Identification and control (ICMIC)

作者： Guanglei Zhao Jingcheng Wang Department of Automation and Key Laboratory of System Control andInformation Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China

The problem of robust peak-to-peak filtering for a class of stochastic systems with time delay and L ∞ disturbance is investigated in this paper. The objective is to design a robust peak-to-peak filter such that the peak value of the estimation error is minimized for possible bounded disturbances. A delay-dependent sufficient condition is presented, which guarantees the mean-square exponential stability and a prescribed H ∞ performance level. A desired filter can be constructed by the proposed approach. All conditions are given in the form of LMI which can be solved effectively. A numerical example is given to illustrate the effectiveness of the proposed method.

关键词： Filtering Robustness Stochastic systems Delay effects Symmetric matrices Attenuation Noise

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Multi-objects tracking and online identification based on SIFT

Multi-objects tracking and online identification based on SI...

引用

International Conference on Multimedia Technology

作者： Yang Liu Xiaonian Wang Jie Yang Lixiu Yao Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai Jiaotong University Shanghai China

This paper presents a method of point feature tracking and online identification using SIFT(Scale Invariant Feature Transform). The proposed approach uses the probabilistic voting method with appearance model to estimate the object's optimal center and apply hierarchical vocabulary tree to recognize the object. Since SIFT feature is invariant to changes caused by rotation, scaling and illumination, we can obtain higher tracking performance than the conventional approach and the probabilistic voting approach enables the track to search object efficiently. Online identification is also a challenge in video surveillance system, we use bag of words method based on hierarchical vocabulary tree to represent and match tracked objects by sampling SIFT feature online. Experimental results illustrate that the proposed approach works robustly for multi-persons tracking and identification.

关键词： Feature extraction Adaptation models Object recognition Support vector machines Probabilistic logic Training Vocabulary

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Constrained feedback RMPC for a category of LPV systems

Constrained feedback RMPC for a category of LPV systems

引用

International Conference on Modelling, Identification and control (ICMIC)

作者： Pengyuan Zheng Dewei Li Yugeng Xi Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China

For a category of linear parameter varying (LPV) systems, i.e. LPV systems with both bounded rates of parameter variations and parameter measurement errors, the approach to design the feedback robust model predictive control (RMPC) is studied. The proposed controller utilizes the information on system parameters so as to improve the control performance, where the LPV system model is transferred into a sequence of future models with parameter-incremental uncertainty to include both the parameter variations and the parameter measurement. Then, a sequence of feedback control laws is designed to correspond to the sequence of future models. Since the information on system parameters is utilized and the control actions will vary corresponding to the future variations of system parameters, the better control performance can be achieved. The recursive feasibility and closed-loop stability of the proposed RMPC are also proven.

关键词： Measurement errors Uncertainty Feedback control Predictive models Algorithm design and analysis Measurement uncertainty Robustness

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On-line calculation model for thermal efficiency of coal-fired utility boiler based on heating value identification

On-line calculation model for thermal efficiency of coal-fir...

引用

International Conference on Modelling, Identification and control (ICMIC)

作者： Yuanhao Shi Jingcheng Wang Bin Wang Yunfeng Zhang Department of Automation and Key Laboratory of System Control and Information Processing Ministry ofEducation of China Shanghai Jiaotong University Shanghai China

Thermal efficiency of coal-fired utility boiler is an important indicator used to measure economic operation of power plant. However, on-line calculation for thermal efficiency of boiler still have difficulties, which the coal quality are often changing and not well obtained real-time. This paper identify the heating value of the coal into the boiler, aiming at the on-line calculation of the boiler efficiency, by means of the dynamic mass and energy balance method. Then an on-line calculation model for thermal efficiency of the boiler was established based on the indirect heat balance method. The paper illustrates the effectiveness of the models as well as the validation of the on-line simulation, starting from real operation data. The outcome is that it is possible to significantly satisfy the accuracy of on-line identification of the Low Heating Value (LHV) of the coal into the boiler, and the real-time of on-line calculations provided by indirect heat balance method. The models can be used to the real-time control and optimization of the coal-fired utility boilers.

关键词： Boilers Coal Absorption Power generation Water heating Real time systems

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