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arXiv 2017年

作者： Ye, Yumeng Liu, Haichun Zhang, TianHong 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 and Shanghai Key Laboratory of Navigation and Location Based Services 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 Shanghai Jiaotong University Shanghai200240 China Department of Electrical Engineering Shanghai Jiaotong University Shanghai200240 China Department of Electrical and Computer Engineering Tennessee Technological University CookevilleTN38505 United States

Electroencephalography is a non-invasive technique for recording brain bioelectric activity, which has potential applications in various fields such as human-computer interaction and neuroscience. Among them, analysis of the risk of schizophrenia using EEG data is a relatively new research topic. However, there are many difficulties in analyzing EEG data, including its complex composition, low amplitude as well as low signal-to-noise ratio. Some of the existing methods of analysis are based on feature extraction and machine learning to differentiate the phase of schizophrenia (First-episode schizophrenia, Healthy controls or Clinical high-risk) that samples belong to. However, medical research requires the use of machine learning not only to give more accurate classification results, but also to give the results that can be applied to pathological studies. The main purpose of this study is to obtain the weight values as the representation of influence of each frequency band on the classification of schizophrenia phases on the basis of a more effective classification method using the LES feature extraction, and then the weight values are processed and applied to improve the accuracy of machine learning classification. We propose a method called weight-voting to obtain the weights of sub-bands features by using results of classification for voting to fit the actual categories of EEG data, and using weights for reclassification. Through this method, we can first obtain the influence of each band in distinguishing three schizophrenia phases, and analyze the effect of band features on the risk of schizophrenia contributing to the study of psychopathology. In addition, the weights applied to the original classifier can achieve the upgrade of the classification effect, which contributes to the BCI-assisted system of diagnosis and treatment. Our results show that there is a high correlation between the change of weight of low gamma band and the difference between HC, CHR an

关键词： Electroencephalography

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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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Stochastic output-feedback model predictive control for systems with multiplicative and additive uncertainty 34

Stochastic output-feedback model predictive control for syst...

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第三十四届中国控制会议

作者： LI Jiwei LI Dewei XI Yugeng Zheng Pengyuan Department of Automation Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information Processing Ministry of Education College of Automation Engineering Shanghai University of Electric Power

ISBN: (纸本)9781467374439

This paper designs output-feedback model predictive control for discrete-time stochastic linear systems. An augmented system of both estimated state and estimation error is formulated. A series of polyhedrons is designed for uncertainty propagation of the augmented system and handling probabilistic constraints. In particular, the polyhedron of estimation error is maintained over the repeated optimization such that the real system state is properly estimated. The resultant optimization problem of the controller is quadratic programming and is solved efficiently. A numerical example is given to illustrate performance of the controller.

关键词： model predictive control,output feedback,probabilistic constraints,stochastic uncertainty

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Attitude synchronization of multiple rigid bodies in SE(3) over proximity networks

Attitude synchronization of multiple rigid bodies in SE(3) o...

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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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Mathematical modeling and decision-making on controlling modes of technological objects in the fuzzy environment

Mathematical modeling and decision-making on controlling mod...

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World Congress on Intelligent control and automation (WCICA)

作者： Y. A. Ospanov B. B. Orazbayev K. N. Orazbayeva N. S. Mukataev A. I. Demyanenko Department of System Analysis and Control L.N. Gumilyov Eurasian National University Astana Kazakhstan Department of Management Kazakh University of Economics Astana Kazakhstan Department of Automation and Electrical Engineering Shakarim State University of Semey Semey Kazakhstan

ISBN: (纸本)9781467384155

This paper proposes methods for the development of mathematical models and for the control of operation modes of technological objects in oil refinery in face of uncertainty based on fuzzy information. The mathematical formulation of the problem of decision-making on controlling modes, which are solved on the basis of mathematical modeling, is formalized and obtained. By using the example of the problem of decision-making on optimal operation modes of technological complex for the benzene production and based on the methods of fuzzy mathematics an algorithm of its solution is developed. The initial problem is formalized as a problem of decision-making in the fuzzy environment, since the investigated object is characterized by multicriteriality and frequently functions in a fuzzy environment. The mathematical formulation of the problem of object's mode selection in the fuzzy environment and the heuristic algorithm of its solution is obtained by modifying various optimality principles based on methods of the fuzzy sets theory.

关键词： Mathematical model Decision making Production Fuzzy sets Data models Pragmatics Numerical models

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A robust terrain-based road vehicle localization algorithm

A robust terrain-based road vehicle localization algorithm

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IEEE Symposium on Intelligent Vehicle

作者： Tianyi Li Ming Yang Xujin Zhou Chunxiang Wang Department of Automation Key Laboratory of System Control and Information Processing Shanghai China Department of Instrument Science and Engineering Shanghai Jiao Tong University Shanghai China Research Institute of Robotics Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781509018222

Terrain-based localization is an alternate to the global positioning system (GPS) in signal blocked areas. However, terrain-based localization technique may suffer from low accuracy or even fail when brake vibration occurs. This paper presents a real-time algorithm for vehicle localization which is robust against brake vibration. The input includes a reference map of pitch difference and measurements from rear wheel encoders and inertial measurement units (IMU). This method consists of two steps. In the first step, terrain map is generated using pitch difference at equidistant intervals. After that, the Bayesian inference and particle filters are adopted in the second step to identify the vehicle location during travel. To enhance system stability, we propose dynamic distributions of filter variances according to acceleration input. Experimental results demonstrate that the localization method with dynamic distributions can localize the vehicle quickly with high accuracy even when a quite severe shuddering happens.

关键词： Vehicles Roads Brakes Acceleration Heuristic algorithms Vibrations Standards

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Corrigendum to “Stabilizing Parametric Region of Multiloop PID controllers for Multivariable systems Based on Equivalent Transfer Function”

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Mathematical Problems in engineering 2017年第1期2017卷

作者： Xiaoli Luan Qiang Chen Pedro Albertos Fei Liu Key Laboratory of Advanced Process Control for Light Industry Ministry of Education and the Institute of Automation Jiangnan University Wuxi 214122 *** Department of System Engineering and Automatica Universidad Politécnica de Valencia 46022 Valencia Spainupv.es

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Event-triggered consensus tracking for multi-agent systems with nonlinear uncertainty dynamics

Event-triggered consensus tracking for multi-agent systems w...

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第35届中国控制会议

作者： Xuhui Li Bohui Wang Jingcheng Wang Bin Zhang Hai Lin Xiaocheng Li the National Engineering and Research Center for Commercial Aircraft Manufacturing Commercial Aircraft Corporation of China Ltd the Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China the Department of Electrical Engineering University of South Carolina

ISBN: (纸本)9781509009107

This paper addresses the event-triggered consensus tracking for general linear multi-agent systems with nonlinear uncertainty dynamics under directed communication *** proposed event-triggered consensus strategy relaxes the assumptions in existing works that the control gain and local inputs must be *** the consensus tracking condition being satisfied,the cooperative control law with bounded parameter is developed based on the intermittent *** shows that if the sampling condition,in terms of LMIs,is satisfied,the resulting closed-loop general linear multiagent uncertain systems will achieve the *** results are provided to verify the proposed approach.

关键词： Index Terms-multi-agent systems event-triggered consensus tracking uncertainty intermittent samples

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A least square approach for distributed sensor fusion in bandwidth-constrained sensor networks

A least square approach for distributed sensor fusion in ban...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Shanying Zhu Jinming Xu Cailian Chen Xinping Guan Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Department of Automation Shanghai Jiao Tong University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781479999897

In this paper, we consider a simple model of distributed sensor fusion problem in sensor networks with asymmetric links, where the common goal is linear parameter estimation. For the realistic scenario of bandwidth-constrained networks, we propose a least square approach, based on distributed quantized consensus algorithms, to compute the ideal centralized sample mean estimate. Analytical results show that the proposed approach is effective in smearing out the quantization errors, and outperforms the centralized approaches with respect to the estimation performance. Simulation results are provided to validate the analytical results.

关键词： Quantization (signal) Sensor fusion Bandwidth Distributed algorithms Convergence Estimation Probabilistic logic

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Explicit adaptive synchronization of multi-agent uncertain systems with heterogeneous dynamic networks

Explicit adaptive synchronization of multi-agent uncertain s...

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American control Conference (ACC)

作者： Bohui Wang Yingguan Wang Bin Zhang Fengrong Li Jingcheng Wang Hai Lin Xiaocheng Li Department of Automation Key Laboratory of System Control and Information Processing Shanghai China Key Laboratory of Wireless Sensor Network & Communication Chinese Academy of Sciences Shanghai China Department of Electrical Engineering University of South Carolina Columbia SC USA

ISBN: (纸本)9781467386838

This paper proposes an explicit adaptive algorithm to solve the problem of heterogeneous dynamic synchronization of multi-agent uncertain systems. Different from the existing works, the proposed algorithm depends on less control parameters and achieves zero synchronization error between the agents of heterogeneous uncertain dynamic networks and virtual target. By introducing appropriate assumptions, a class of explicit adaptive synchronization protocols is designed based on a combination of the virtual target's states, distributed feedback gain, and the limited neighboring agents' information. By using Lyapunov function approach, it is proved that the explicit adaptive synchronization problem of closed-loop multi-agent uncertain systems with heterogeneous dynamic networks can be solved, if the control parameters of the explicit adaptive synchronization algorithm are suitably selected. Finally, an example is given to demonstrate the proposed theory.

关键词： Synchronization Heuristic algorithms Uncertain systems Adaptive systems Protocols Eigenvalues and eigenfunctions Laplace equations

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