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第35届中国控制会议

作者： Juan Deng Zhixin Liu Lin Wang John S.Baras Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceCAS Department of Automation Shanghai Jiao Tong Universityand the Key Laboratory of System Control and Information ProcessingMinistry of Education Department of Electrical and Computer Engineering and the Institute for Systems Research University of MarylandCollege Park

ISBN: (纸本)9781509009107

This paper investigates the attitude synchronization of a group of moving rigid bodies whose states including positions and rotation matrices evolve in the Lie group SE(3).The commonly used circular neighborhood is adopted,and the neighbor graphs are described by proximity *** order to avoid introducing discussions on the abrupt changes of neighbor graphs,a dwell time is *** distributed sampled-data control law for the angular velocity is *** the assumptions on the initial states,we provide sufficient conditions for the attitude synchronization of multiple rigid body *** with the existing results,our condition depends only on the neighborhood radius,the moving velocity and the dwell time.

关键词： rigid body SE(3) attitude synchronization sampled-data control proximity network

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Design and implementation of natural language processing with syntax and semantic analysis for extract traffic conditions from social media data 5

Design and implementation of natural language processing wit...

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5th IEEE International Conference on system Engineering and Technology, ICSET 2015

作者： Aziz, Mochamad Vicky Ghani Prihatmanto, Ary Setijadi Henriyan, Diotra Wijaya, Rifki Control and Computer System Laboratory School of Electrical Engineering and Informatics Institut Teknologi Bandung Indonesia

ISBN: (纸本)9781467367134

Traffic congestion is still a crucial issue because it has a huge impact from the waste of time, the fuel to air pollution. Search information on traffic conditions have been widely available such as through Twitter and the website of CCTV, but the rapid development of online information services resulted in the lack of time to read the complete information. By utilizing the Twitter data, then created a summary regarding the traffic, the summary can improve time efficiency and effectiveness in obtaining information about traffic conditions. However, the structure of the language of Twitter tweets unstructured and raw cause difficult to process information computer, to solve these problems then summarize it using Natural Language Processing approach the syntactic and semantic analysis to improve the structure of words and sentence parsing so that it can classify traffic conditions tweet of the sentence. © 2015 IEEE.

关键词： Traffic congestion

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Visual tracking via an ensemble of random classifiers

Visual tracking via an ensemble of random classifiers

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IEEE International Conference on Real-time Computing and Robotics (RCAR)

作者： Yichun Shi Hesheng Wang Department of Computer Science Shanghai Jiao Tong University Shanghai China Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Shanghai China

ISBN: (纸本)9781467389600

One largest problem for tracking-by-detection methods is the incomplete and noisy training set. Occlusion, illumination and many other problems could lead to this problem. Models that are not adaptive enough would fail to track the target when drastic appearance change takes place. Adaptive ones, although keep tracking at first, could lose the target because of learning too many incorrect samples. In this paper, we present an ensemble model of random classifiers updated on different dataset. When the appearance of the target changes drastically and some sub-models are confused, the others could help correct the tracking result. A latent variable is added for choosing sub-models and it naturally leads to predicting the new samples with a weighted sum of sub-models. To calculate the weight, we add a generative model to each random classifier. Experiments show that our method could track the target robustly and accurately.

关键词： Target tracking Training Visualization Noise measurement Robustness Lighting Adaptation models

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A Data Driven Approach for Resting-state EEG signal Classificition of Schizophrenia with control Participants Using Random Matrix Theory

arXiv

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arXiv 2017年

作者： Liu, Haichun Zhang, TianHong Ye, Yumeng Pan, Changchun Yang, Genke Wang, JiJun Qiu, Robert C. Key Laboratory of System Control and Information Processing Shanghai Jiaotong University Ministry of Education of China Shanghai200240 China Department of Automation Shanghai Jiaotong University Shanghai200240 China Shanghai Key Laboratory of Psychotic Disorders Shanghai Mental Health Center Shanghai Jiaotong University School of Medicine Shanghai200030 China Brain Science and Technology Research Center Shanghai Jiao Tong University Shanghai200240 China Department of Electrical Engineering Shanghai Jiaotong University Shanghai200240 China Department of Electrical and Computer Engineering Tennessee Technological University CookevilleTN38505 United States

Resting state electroencephalogram (EEG) abnormalities in clinically high-risk individuals (CHR), clinically stable first-episode patients with schizophrenia (FES), healthy controls (HC) suggest alterations in neural oscillatory activity. However, few studies directly compare these anomalies among each types. Therefore, this study investigated whether these electrophysiological characteristics differentiate clinical populations from one another, and from non-psychiatric controls. To address this question, resting EEG power and coherence were assessed in 40 clinically high-risk individuals (CHR), 40 first-episode patients with schizophrenia (FES), and 40 healthy controls (HC). These findings suggest that resting EEG can be a sensitive measure for differentiating between clinical *** paper proposes a novel data-driven supervised learning method to obtain identification of the patients mental status in schizophrenia research. According to Marchenko-Pastur Law, the distribution of the eigenvalues of EEG data is divided into signal subspace and noise subspace. A test statistic named LES that embodies the characteristics of all eigenvalues is adopted. different classifier and different feature(LES test function) are selected for experiments, we have shown that using von Neumann Entropy as LES test function combine with SVM classifier could obtain the best average classification accuracy during three classification among HC, FES and CHR of Schizophrenia group with EEG signal. It is worth noting that the result of LES feature extraction with the highest classification accuracy is around 90% in two classification(HC compare with FES) and around 70% in three classification. Where the classification accuracy higher than 70% could be used to assist clinical diagnosis. Copyright © 2017, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions

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Discrete-time Global Leader-Following Consensus of a Group of General Linear systems Using Bounded controls:the State Feedback Case

Discrete-time Global Leader-Following Consensus of a Group o...

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第35届中国控制会议

作者： Zhiyun Zhao Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781509009107

This paper studies the problem of global leader-following consensus of a group of discrete-time general linear systems with bounded *** construct a bounded state feedback control law for each follower agent in the group by using a multihop relay protocol,in which the agent obtains the information of other agents through multi-hop paths in the communication *** number of hops each agent uses to obtain its information about other agents for an input is less than or equal to the sum of the number of real eigenvalues on the unit circle and the number of pairs of complex eigenvalues on the unit circle of the sub-system corresponding to the input,and the feedback gains are constructed from the adjacency matrix associated with the communication *** show that these control laws achieve global leader-following consensus when the communication topology is a strongly connected and detailed balanced directed graph and the leader is a neighbor of at least one follower agent.

关键词： Cooperative control consensus multi-agent systems discrete-time bounded controls

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Global Optimal Consensus of Multi-agent systems with Bounded controls

Global Optimal Consensus of Multi-agent Systems with Bounded...

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第35届中国控制会议

作者： Yijing Xie Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781509009107

This paper studies the global optimal consensus problem for a multi-agent system with bounded *** agent is described by a single-integrator dynamics and has its own objective function which is known to itself *** each agent,we construct a bounded local control law that uses the information accessible to it through the communication topology underlying the multi-agent *** is shown that these control laws together achieve global optimal consensus for the multi-agent system,that is,all agents reach consensus at a state that minimizes the sum of the objective functions of all agents as long as the communication topology is strongly connected and *** results are given to illustrate the theoretical results.

关键词： Multi-agent systems bounded control distributed optimization consensus optimal consensus

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Primary Frequency Regulation for Multi-area Interconnected Power system with Wind Turbines Based on DMPC

Primary Frequency Regulation for Multi-area Interconnected P...

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第35届中国控制会议

作者： Miaomiao Ma Chunyu Zhang Liyang Shao Yushen Sun State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University School of Control & Computer Engineering North China Electric Power University

ISBN: (纸本)9781509009107

This paper integrates the wind turbines(WTs) into the interconnected power system and designs a distributed model predictive control(DMPC) controller for the primary frequency regulation *** WTs have been treated as a part of the power system to take part in primary frequency regulation with load disturbances.A frequency response model of multi-area power system including WTs is introduced,in which the physical constraints of the governors and turbines are *** distributed model predictive controller is designed by posing the primary frequency regulation problem as disturbance rejection problem of large system with state and input *** and simulation results for a two-area interconnected power system with WTs show possible improvements on closed-loop performance,while respecting physical hard *** have been made made between the DMPC controller with and without *** results confirm the superiority of the proposed DMPC scheme with the participation of the wind turbines in the primary frequency regulation.

关键词： Primary frequency regulation distributed model predictive control generation rate constraint(GRC) interconnected power system wind turbine

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The Power Plant's Comprehensive Evaluation of Energy Saving Based on Entropy and ELECTRE Method

The Power Plant's Comprehensive Evaluation of Energy Saving ...

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2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics(EMCPE 2016)

作者： Pengfei Wang Changliang Liu School of Control and Computer Engineering North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University

With the national emphasis on energy conservation and environmental protection and as the primary energy consumption and emissions, more and more people pay attention on the energy saving of thermal power plant. In this paper, some relevant indicators for the energy saving of thermal power plant are selected,and the improved ELECTRE based on entropy weight is applied to the comprehensive evaluation of energy saving and emission reduction in thermal power plant. Based on the information entropy, the weight coefficient of each index is determined, and the scientific and objectivity of the energy saving evaluation of thermal power plant are raised. Using ELECTRE to sort, the principle is simple and the effect is good Take five plants in an area as example, nine indicators are selected to build energy-related evaluation system. Analysis and calculation based on the evaluation model established in this paper, ultimate proof that the ELECTRE Method Based on Entropy in Comprehensive Evaluation of Power Plant in the energy saving is effective.

关键词： Thermal Plant Energy Conservation Comprehensive Evaluation Entropy ELECTRE

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Robust Semi-global Leader-following Consensus of Linear Multi-agent systems with Imperfect Actuators

Robust Semi-global Leader-following Consensus of Linear Mult...

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第35届中国控制会议

作者： Liangren Shi Zhiyun Zhao Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781509009107

This paper deals with the robust semi-global leader-following consensus problem for a linear multi-agent system with imperfect *** actuators of the follower agents have imperfect input output characteristics,such as those of saturation and dead-zone,and those characteristics are not precisely *** agents are also subject to input additive disturbances.A low-and-high gain based linear state feedback control law is constructed for each follower *** is shown that these control laws achieve robust semi-global leader-following consensus when the graph representing the communication topology among the followers is undirected and connected and the leader is a neighbor of at least one *** simulation illustrates the theoretical results.

关键词： Consensus leader-following actuator saturation dead-zone low-and-high gain feedback

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Dual-Tone Radio Interferometric Positioning systems for Multi-Target Localization Using a Single Mobile Anchor

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China Communications 2015年第1期12卷 25-35页

作者： LI Li'an WANG Yiyin MA Xiaoli CHEN Cailian GUAN Xinping Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China School of Electrical & Computer Engineering Georgia Institute of Technology

In this paper, a low-cost dualtone radio interferometric positioning system using a single mobile anchor is proposed to locate multiple targets at the same time. We name it mDRIPS. In mDRIPS, each target continuously transmits a dual-tone signal with its dedicated frequencies, and the mobile anchor receives the signals at different positions along its trajectory, Neither time synchronization between the mobile anchor and the targets nor time synchronization among the targets is required. We take the instability of targets clocks into consideration and develop an ESPRIT-type algorithm to estimate frequencies of each dual-tone signal. Furthermore, the time of arrival （TOA） of each target signal is extracted from the phase estimates of the received dual-tone signals. After measuring several TOAs at different locations along the anchor＇s trajectory, each target can be located. Since the frequency difference of the two tones of each dualtone signal is designed to be smaller than the channel coherence bandwidth, the same fading effect on these two tones can be eliminated. Moreover, the integer ambiguity problem due to phase wrapping is investigated, and a localization algorithm to deal with a simplified ambiguity problem is proposed. Numerical results demonstrate the efficiency of the proposed mDRIPS.

关键词： ranging localization mobile anchor radio interferometry oscillator instability

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