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American control Conference

作者： Kyriakos G. Vamvoudakis Panos J. Antsaklis Warren E. Dixon Joao P. Hespanha Frank L. Lewis Hamidreza Modares Bahare Kiumarsi Center for Control Dynamical-systems and Computation (CCDC) University of California Santa Barbara CA 93106-9560 USA Electrical Engineering Department University of Notre Dame Notre Dame IN 46556 USA Department of Mechanical and Aerospace Engineering University of Florida Gainesville FL 32611 USA The University of Texas at Arlington Research Institute (UTARI) Ft. Worth TX 76118 USA

ISBN: (纸本)9781479917730

This tutorial paper will discuss the development of novel state-of-the-art control approaches and theory for complex systems based on machine intelligence in order to enable full autonomy. Given the presence of modeling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals and malicious attacks compromising the security of teams of complex systems, there is a need for approaches that respond to situations not programmed or anticipated in design. Unfortunately, existing schemes for complex systems do not take into account recent advances of machine intelligence. We shall discuss on how to be inspired by the human brain and combine interdisciplinary ideas from different fields, i.e. computational intelligence, game theory, control theory, and information theory to develop new self-configuring algorithms for decision and control given the unavailability of model, the presence of enemy components and the possibility of network attacks. Due to the adaptive nature of the algorithms, the complex systems will be capable of breaking or splitting into parts that are themselves autonomous and resilient. The algorithms discussed will be characterized by strong abilities of learning and adaptivity. As a result, the complex systems will be fully autonomous, and tolerant to communication failures.

关键词： Machine Learning Complex systems Autonomy Information Theory

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Sign-Perturbed Sums (SPS) with Instrumental Variables for the Identification of ARX Systems

Sign-Perturbed Sums (SPS) with Instrumental Variables for th...

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IEEE Annual Conference on Decision and control

作者： Valerio Volpe Balazs Cs. Csaji Algo Care Erik Weyer Marco C. Campi Department of Information Engineering University of Brescia Via Branze 38 25123 Brescia Italy Fraunhofer Project Center at the Institute for Computer Science and Control (SZTAKI) Hungarian Academy of Sciences (MTA) Kende utca 13-17 Budapest Hungary H-1111 Department of Electrical and Electronic Engineering Melbourne School of Engineering The University of Melbourne 240 Grattan Street Parkville Melbourne Victoria 3010 Australia

ISBN: (纸本)9781479978878

We propose a generalization of the recently developed system identification method called Sign-Perturbed Sums (SPS). The proposed construction is based on the instrumental variables estimate and, unlike the original SPS, it can construct non-asymptotic confidence regions for linear regression models where the regressors contain past values of the output. Hence, it is applicable to ARX systems, as well as systems with feedback. We show that this approach provides regions with exact confidence under weak assumptions, i.e., the true parameter is included in the regions with a (user-chosen) exact probability for any finite sample. The paper also proves the strong consistency of the method and proposes a computationally efficient generalization of the previously proposed ellipsoidal outer-approximation. Finally, the new method is demonstrated through numerical experiments, using both real-world and simulated data.

关键词： Instruments Approximation algorithms Electronic mail Signal processing algorithms Linear regression Signal processing Standards

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FEATURE EXTRACTION WITH DEEP BELIEF NETWORKS FOR DRIVER'S COGNITIVE STATES PREDICTION FROM EEG DATA

FEATURE EXTRACTION WITH DEEP BELIEF NETWORKS FOR DRIVER'S CO...

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IEEE China Summit and International Conference on Signal and Information Processing

作者： Mehdi Hajinoroozi Tzyy-Ping Jung Chin-Teng Lin Yufei Huang Department of Electrical and Computer Engineering University of Texas at San Antonio Institute for Neural Computation University of California Brain Research Center National Chiao Tung University

ISBN: (纸本)9781479919499

This study considers the prediction of driver's cognitive states from electroencephalographic (EEG) data. Extracting EEG features correlated with driver's cognitive states is key for achieving accurate prediction. However, high dimensionality and temporal-and-spatial correlations of EEG data make extraction of effective features difficult. This study explores the approaches based on deep belief networks (DBN) for feature extraction and dimension reduction. Experimental results of this study showed that DBN applied to channel epochs (DBN-C) produces the most discriminant features and the best classification performance is achieved when DBN-C is applied to the time-frequency and independent-component-analysis transformed EEG data. The results suggested that DBN-C is a promising new method for extracting complex, discriminant features for EEG-based brain computer interfaces.

关键词： Deep belief network Feature extraction Classification

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A Vehicular Positioning Enhancement with Connected Vehicle Assistance

A Vehicular Positioning Enhancement with Connected Vehicle A...

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IEEE Conference on Vehicular Technology (VTC)

作者： Xuting Duan Yunpeng Wang Daxin Tian Liang Sun David G. Michelson Victor C. M. Leung Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety Control Beihang University Beijing China Department of Electrical and Computer Engineering The University of British Columbia Vancouver BC Canada

ISBN: (纸本)9781479980925

In this paper, we consider the problem of vehicular positioning enhancement with emerging connected vehicles (CV) technologies. In order to actually describe the scenario, the Interacting Multiple Model (IMM) filter is used for depicting varies of observation models. A CV-enhanced IMM filtering approach is proposed to locate a vehicle by data fusion from both coarse GPS data and the Doppler frequency shifts (DFS) measured from dedicated short-range communications (DSRC) radio signals. Simulation results state the effectiveness of the proposed approach.

关键词： Vehicles Global Positioning System TV Covariance matrices Frequency measurement Doppler effect Kalman filters

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Piecewise Polynomial Policy Iterations for Synthesis of Optimal control Laws in Input-Saturated Systems

Piecewise Polynomial Policy Iterations for Synthesis of Opti...

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American control Conference

作者： Simone Baldi Giorgio Valmorbida Antonis Papachristodoulou Elias B. Kosmatopoulos Delft Center for Systems and Control Delft University of Technology Delft 2628CD The Netherlands Department of Engineering Science Control Group University of Oxford Parks Road Oxford OX1 3PJ U.K. Dept. of Electrical and Computer Engineering Democritus University of Thrace Xanthi 67100 Greece and Informatics & Telematics Institute Center for Research and Technology Hellas (ITI-CERTH) Thessaloniki 57001 Greece

ISBN: (纸本)9781479917730

This work proposes a policy iteration procedure for the synthesis of optimal and globally stabilizing control policies for Linear Time Invariant (LTI) Asymptotically Null-controllable with Bounded Inputs (ANCBI) systems. This class includes systems with eigenvalues on the imaginary axis (possibly repeated) but no pole with positive real part. The proposed policy iteration relies on a class of piecewise quadratic Lyapunov functions which is non-differentiable, but continuous, and polynomial in both the state and the deadzone functions of the input signals. The second step of the policy iteration is based on a piecewise control policy improvement. An important aspect of the proposed piecewise policy is that at each step of the iteration the computed policy is globally stabilizing and the existence of an improving value function is guaranteed as well. The solution to the inequalities which is required to hold at each step of the policy iteration, is obtained by solving Sum-of-Squares Programs (SOSP) that can be efficiently implemented with semidefinite programming (SDP) solvers.

关键词： iterative methods Policies Piecewise control law synthesis Polynomial control strategy Liapunov function Bounded

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On the Shortest Path Planning for the Carangiform Robotic Fish 33

On the Shortest Path Planning for the Carangiform Robotic Fi...

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第三十三届中国控制会议

作者： LIU Chang CHEN Songlin Jianxun Wang Xiaobo Tan Control and Simulation Center Harbin Institute of Technology Smart Microsystems Laboratory Department of Electrical and Computer EngineeringMichigan State UniversityEast LansingMI 48824USA

ISBN: (纸本)9781479947249

Considering the under-actuated characteristic of the carangiform robotic fish whose forward movement and turning are carried out by its single caudal fin, this paper investigates its shortest path planning problem subjected to the terminal constrains. First, a simplified kinematics model is proposed in view of its locomotion characteristic. With this model, the shortest path planning is transformed into the shortest time optimal control problem and the maximum principle is employed to obtain the necessary condition. Furthermore, based on the analysis on the relationship between the length of all feasible paths and the terminal condition, the sufficient and necessary conditions are derived for the shortest path under any terminal constrains. Finally, a program developed with Matlab verifies the effectiveness of the proposed results.

关键词： carangiform robotic fish,shortest path,maximum principle

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Transverse flux permanent magnet motor with double-C stator hoops and flux-concentrated rotor for in-wheel drive electric vehicle

Transverse flux permanent magnet motor with double-C stator ...

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作者： Jia, Zhou Lin, Heyun Yang, Hui Mi, Chris Engineering Research Center for Motion Control of MOE Southeast University Nanjing210096 China Department of Electrical and Computer Engineering University of Michigan Dearborn DearbornMI48128 United States

ISBN: (纸本)9781479956982

This paper proposes a novel transverse flux permanent magnet motor (TFPMM) with double-C stator hoops. The proposed TFPMM carries significantly increased power density due to higher coefficient of utilization of the volume compared with the traditional double-side counterparts. The topology, principle and parametric calculation of the TFPMM are described elaborately. The magnetic field and characteristics analysis are conducted by three-dimensional finite element method (3D FEM) including flux density, EMF and winding inductance, and cogging torque are obtained to verify the feasibility of proposed TFPMM design. The mechanism of cogging torque of the proposed double-C stator hoops TFPMM is also analyzed. The results of transient simulation of power density well align with the theoretical analysis, which confirm that the power density is significantly increased due to its higher volumetric utilization ratio. © 2014 IEEE.

关键词： Stators

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Corrigendum to “A pathway-based network analysis of hypertension-related genes” [Physica A 444 (2016) 928–939]

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Physica A: Statistical Mechanics and its Applications 2016年 447卷 569-570页

作者： Huan Wang Jing-Bo Hu Chuan-Yun Xu De-Hai Zhang Qian Yan Ming Xu Ke-Fei Cao Xu-Sheng Zhang School of Computer Science and Technology Baoji University of Arts and Sciences Baoji Shaanxi 721016 China Center for Nonlinear Complex Systems Department of Physics School of Physics Science and Technology Yunnan University Kunming Yunnan 650091 China School of Electronic and Electrical Engineering Baoji University of Arts and Sciences Baoji Shaanxi 721016 China School of Software Yunnan University Kunming Yunnan 650091 China School of Physics and Electronic Science Chuxiong Normal University Chuxiong Yunnan 675000 China School of Mathematical Sciences Kaili University Kaili Guizhou 556011 China Modelling and Economics Unit Centre for Infectious Disease Surveillance and Control Public Health England 61 Colindale Avenue London NW9 5EQ UK Medical Research Council Centre for Outbreak Analysis and Modelling Department of Infectious Disease Epidemiology School of Public Health Imperial College London Norfolk Place London W2 1PG UK

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A novel control method for neutral point clamped inverters with a single Z-source network

A novel control method for neutral point clamped inverters w...

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作者： Xing, Xiangyang Chen, Alian Wang, Weisheng Zhang, Chenghui Najmi, Vahid School of Control Science and Engineering Shandong University Jinan250061 China Center for Power Electronics Systems Bradley Department of Electrical and Computer Engineering State University BlacksburgVA24061 United States

ISBN: (纸本)9781479940325

The Z-source neutral point clamped (NPC) inverters can realize buck-boost energy conversion with all satisfying advantages of the three-level inverters. A significant problem related to this topology is the fluctuation of the neutral-point potential (NP). However, the previous modulation techniques for this topology cannot achieve the considerate stable voltage. In this paper, based on the analysis of the relationship among the shoot-through duty cycle and the NP voltage, the average NP current, switching frequency capacitor value, a new feed-forward compensator by modifying the shoot-through duty cycle which can improve to balance the NP voltage balancing is proposed. Meanwhile, in consideration of a low voltage gain caused by the NP voltage balance method, a new control method based on a maximum constant boost control method is proposed, which brings the benefits in both high voltage gain and low-frequency ripple. The considerate stable NP voltage and the high voltage gain have been proven in simulation and through experimental results from a prototype converter. © 2014 IEEE.

关键词： Topology

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Materials Science/Clinical Medi Cine: Epidermal devices for noninvasive, precise, and continuous mapping of macrovascular and microvascular blood flow

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Science Advances 2015年第9期1卷

作者： Webb, R. Chad Ma, Yinji Krishnan, Siddharth Li, Yuhang Yoon, Stephen Guo, Xiaogang Feng, Xue Shi, Yan Seidel, Miles Cho, Nam Heon Kurniawan, Jonas Ahad, James Sheth, Niral Kim, Joseph TaylorVI, James G. Darlington, Tom Chang, Ken Huang, Weizhong Ayers, Joshua Gruebele, Alexander Pielak, Rafal M. Slepian, Marvin J. Huang, Yonggang Gorbach, Alexander M. Rogers, John A. Department of Materials Science and Engineering Frederick Seitz Materials Research Laboratory University of Illinois at Urbana-Champaign UrbanaIL61801 United States Departments of Civil and Environmental Engineering Mechanical Engineering Center for Engineering and Health Skin Disease Research Center Northwestern University EvanstonIL60208 United States Department of Engineering Mechanics Center for Mechanics and Materials Tsinghua University Beijing100084 China Institute of Solid Mechanics Beihang University Beijing100191 China National Institute of Biomedical Imaging and Bioengineering National Institutes of Health BethesdaMD20892 United States College of Aerospace and Civil Engineering Harbin Engineering University Harbin150001 China State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing210016 China Genomic Medicine Section Hematology Branch National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Department of Electrical and Computer Engineering Frederick Seitz Materials Research Laboratory University of Illinois at Urbana-Champaign UrbanaIL61801 United States L'Oreál California Research Center 953 Indiana Street San FranciscoCA94107 United States Department of Medicine Sarver Heart Center Department of Biomedical Engineering University of Arizona TucsonAZ85724 United States

Continuous monitoring of variations in blood flow is vital in assessing the status of microvascular and macrovascular beds for a wide range of clinical and research scenarios. Although a variety of techniques exist, most require complete immobilization of the subject, thereby limiting their utility to hospital or clinical settings. Those that can be rendered in wearable formats suffer from limited accuracy, motion artifacts, and other shortcomings that follow from an inability to achieve intimate, noninvasive mechanical linkage of sensors with the surface of the skin. We introduce an ultrathin, soft, skin-conforming sensor technology that offers advanced capabilities in continuous and precise blood flow mapping. Systematic work establishes a set of experimental procedures and theoretical models for quantitative measurements and guidelines in design and operation. Experimental studies on human subjects, including validation with measurements performed using state-of-the-art clinical techniques, demonstrate sensitive and accurate assessment of both macrovascular and microvascular flow under a range of physiological conditions. Refined operational modes eliminate long-term drifts and reduce power consumption, thereby providing steps toward the use of this technology for continuous monitoring during daily activities. © 2015 The Authors, some rights reserved.

关键词： Blood

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