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arXiv 2018年

作者： Liu, Shenglan Guo, Shuai Qiao, Hong Wang, Yang Wang, Bin Luo, Wenbo Zhang, Mingming Zhang, Keye Du, Bixuan School of Computer Science and Technology Dalian University of Technology Dalian116024 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Research Center for Brain and Cognitive Neuroscience Liaoning Normal University Dalian116024 China

Human emotion recognition is an important direction in the field of biometric and information forensics. However, most existing human emotion research are based on the single RGB view. In this paper, we introduce a RGBD video-emotion dataset and a RGBD face-emotion dataset for research. To our best knowledge, this may be the first RGBD video-emotion dataset. We propose a new supervised nonlinear multi-view laplacian eigenmaps (MvLE) approach and a multihidden-layer out-of-sample network (MHON) for RGB-D human emotion recognition. To get better representations of RGB view and depth view, MvLE is used to map the training set of both views from original space into the common subspace. As RGB view and depth view lie in different spaces, a new distance metric bag of neighbors (BON) used in MvLE can get the similar distributions of the two views. Finally, MHON is used to get the low-dimensional representations of test data and predict their labels. MvLE can deal with the cases that RGB view and depth view have different size of features, even different number of samples and classes. And our methods can be easily extended to more than two views. The experiment results indicate the effectiveness of our methods over some state-of-art methods. Copyright © 2018, The Authors. All rights reserved.

关键词： Laplace transforms

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A unified angle control scheme for hypersonic vehicle based on disturbance rejection 21

A unified angle control scheme for hypersonic vehicle based ...

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21st AIAA International Space Planes and Hypersonics Technologies Conference, Hypersonics 2017

作者： Piao, Minnan Zhu, Kai Sun, Mingwei Chen, Zengqiang Dept. of Automation and Intelligent Science College of Computer and Control Engineering Nankai University Tianjin300350 China Tianjin Key Laboratory of Intelligent Robotics Tianjin300350 China Beijing Aerospace Technology Institute Beijing100074 China

ISBN: (数字)9781624104633

ISBN: (纸本)9781624104633

Hypersonic vehicles are characterized with strong nonlinearities, coupling effects and uncertainties as well as fast time-varying parameters, which impose great difficulty to the attitude control. This study proposes a unified scheme for all the Euler angles, angle of attack, and sideslip angle. First, three controllers based on active disturbance rejection control (ADRC) are designed for the Euler angles respectively, in which the external disturbances and the internal uncertainties can be estimated by the extended state observer (ESO) and compensated in real time actively. Then the geometric relations among the angles with different time scales are utilized to transform the commands of α and β into the commands of the pitch angle and the yaw angle. Next the stability-margin tester method is employed to tune the controller parameters, which guarantees the stability and robustness of the control system. 1000 nonlinear six-degree-of-freedom Monte Carlo simulation results demonstrate the good tracking performance and the robustness of the proposed control method. © 2017, American institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Hypersonic vehicles

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Multi-view hybrid embedding: A divide-and-conquer approach

arXiv

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arXiv 2018年

作者： Xu, Jiamiao Yu, Shujian You, Xinge Leng, Mengjun Jing, Xiao-Yuan Chen, C. L. Philip School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China Department of Electrical and Computer Engineering University of Florida GainesvilleFL32611 United States Department of Computer Science University of Houston HoustonTX77204 United States State Key Laboratory of Software Engineering School of Computer Wuhan University China Department of Computer and Information Science Faculty of Science and Technology University of Macau Macau99999 China Dalian Maritime University Dalian116026 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100080 China

We present a novel cross-view classification algorithm where the gallery and probe data come from different views. A popular approach to tackle this problem is the multiview subspace learning (MvSL) that aims to learn a latent subspace shared by multi-view data. Despite promising results obtained on some applications, the performance of existing methods deteriorates dramatically when the multi-view data is sampled from nonlinear manifolds or suffers from heavy outliers. To circumvent this drawback, motivated by the Divideand-Conquer strategy, we propose Multi-view Hybrid Embedding (MvHE), a unique method of dividing the problem of cross-view classification into three subproblems and building one model for each subproblem. Specifically, the first model is designed to remove view discrepancy, whereas the second and third models attempt to discover the intrinsic nonlinear structure and to increase discriminability in intra-view and interview samples respectively. The kernel extension is conducted to further boost the representation power of MvHE. Extensive experiments are conducted on four benchmark datasets. Our methods demonstrate overwhelming advantages against the stateof-the-art MvSL based cross-view classification approaches in terms of classification accuracy and robustness. Copyright © 2018, The Authors. All rights reserved.

关键词： Embeddings

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An Improved Page Rank Algorithm Based on Fuzzy C-Means Clustering and Information Entropy 3

An Improved Page Rank Algorithm Based on Fuzzy C-Means Clust...

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2017 3rd IEEE International Conference on control science and Systems Engineering (ICCSSE)

作者： Wenbo Zheng Shaocong Mo Pengfei Duan Xiaotian Jin School of Software Engineering Xi’an Jiaotong University The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Computer Science and Technology Wuhan University of Technology Hubei Key Laboratory of Transportation Internet of Things Wuhan University of Technology

ISBN: (纸本)9781538604854

This paper proposes an improvement to the Page Rank algorithm. Most existing Page Rank algorithms expect a strong correlation among consecutively accessed webpages, which in reality should be a fuzzy relationship when a user accesses pages on an arbitrarily basis. We mine data from search-behavior logs by analyzing chronological sequential patterns, and cluster all webpages using fuzzy C clustering. The weight of each cluster is identified with information entropy, which is then used to adjust the average weight. A sample of 1 million pages is used for testing. Compared with traditional Page Rank, the new algorithm decreases search time by 34.83% and increases search accuracy by 41.88%;when compared with HITS, the improvements are 31.82% and 64.04% respectively.

关键词： fuzzy c-means information entropy PageRank

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Hierarchical P systems with randomized right-hand sides of rules 18th

Hierarchical P systems with randomized right-hand sides of r...

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18th International Conference on Membrane Computing, CMC 1018

作者： Alhazov, Artiom Freund, Rudolf Ivanov, Sergiu Institute of Mathematics and Computer Science Academy of Sciences of Moldova Academiei 5 Chişinău2028 Moldova Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology Wuhan430074 China Faculty of Informatics TU Wien Favoritenstraße 9–11 Vienna1040 Austria LACL Université Paris Est – Créteil Val de Marne 61 av. Général de Gaulle Créteil94010 France TIMC-IMAG/DyCTiM Faculty of Medicine of Grenoble 5 avenue du Grand Sablon La Tronche38700 France

ISBN: (纸本)9783319733586

P systems are a model of hierarchically compartmentalized multiset rewriting. We introduce a novel kind of P systems in which rules are dynamically constructed in each step by non-deterministic pairing of left-hand and right-hand sides. We define three variants of right-hand side randomization and compare each of them with the power of conventional P systems. It turns out that all three variants enable non-cooperative P systems to generate exponential (and thus non-semi-linear) number languages. We also give a binary normal form for one of the variants of P systems with randomized rule right-hand sides. © 2018, Springer International Publishing AG.

关键词： Hierarchical systems

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On limit cycle chattering in sliding mode control systems under the influence of sampling intervals based on describing function approach

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The Journal of China Universities of Posts and Telecommunications 2016年第1期23卷 55-59页

作者： Kang Hongbo Shen Yu Institute of Electrical and Control Engineering Chang'an University College of Automation Xi'an University of Posts Communications School of Computer and Information Science Southwest University

In this paper, the influence of sampling intervals on the chattering in sliding mode （SM） control systems is considered. The describing function （DF） approach is employed to analyze the chattering characteristics in the sampling SM control. By the DF calculations and limit cycle existence conditions, an unstable limit cycle and two stable limit cycles are found in the SM control system. The frequencies and amplitudes of the two limit cycles can also be estimated by graphical calculations. The estimation accuracy of chattering parameters is evaluated by the simulations. The results of simulations show that the system could converge to a large and a small limit cycle from different initial conditions.

关键词： sampling interval chattering parameters describing function approach multiple limit cycle analysis

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An Error-Entropy Minimization Algorithm for Tracking control of Nonlinear Stochastic Systems with Non-Gaussian Variables

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IFAC-PapersOnLine 2017年第1期50卷 10407-10412页

作者： Liu Y. Wang A. Guo L. Wang H. State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 China Institute of Computer Sciences Anhui University Anhui China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China Pacific Northwest National Laboratory 902 Battelle Blvd RichlandWA 99352 United States

This paper presents an error-entropy minimization tracking control algorithm for a class of dynamic stochastic systems. The system is represented by a set of time-varying discrete nonlinear equations with non-Gaussian stochastic input, where the statistical properties of stochastic input are unknown. By using Parzen windowing with Gaussian kernel to estimate the probability densities of errors, recursive algorithms are then proposed to design the controller such that the tracking error can be minimized. The performance of the error-entropy minimization is compared with the mean-square-error minimization in the simulation results. © 2017

关键词： information potential Minimum error entropy non-Gaussian variables probability density function stochastic systems

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Unknown input observer based on discrete-time nonlinear descriptor model for understanding sitting control

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IFAC-PapersOnLine 2017年第1期50卷 820-825页

作者： Blandeau M. Guerra T.M. Estrada-Manzo V. Pudlo P. Gabrielli F. Laboratory of Industrial and Human Automation control Mechanical engineering and Computer Science (LAMIH UMR CNRS 8201) Université de Valenciennes et du Hainaut-Cambrésis Valenciennes France Department of Electrical and Electronics Engineering Sonora Institute of Technology 5 de febrero 818 Sur CP Obregon Sonora 85000 Mexico

The present paper studies sitting control for persons with complete thoracic spinal cord injury by means of automatic control. The methodology begins by modeling sitting control, after a discretization of the nonlinear descriptor model is computed, then a Takagi-Sugeno model is obtained for further manipulations. The approach uses unknown input observers to estimate states and internal variable of the system. The design conditions are expressed as linear matrix inequalities, whose solvability depends on convex optimization techniques. Simulations are conducted to show the effectiveness of the proposed observer. © 2017

关键词： Discrete-Time systems Inverted pendulum Nonlinear descriptor systems Sitting movement Spinal Cord Injury Takagi-Sugeno models Unknown input observer

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Traffic flow optimization with QoS constrained network admission control

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IFAC-PapersOnLine 2017年第1期50卷 5275-5280页

作者： Csikós A. Farhadi H. Kulcsár B. Charalambous T. Wymeersch H. Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary Department of Signals and Systems Chalmers University of Technology Gothenburg Sweden John A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge MA United States Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Espoo Finland

The paper proposes a control design method in order to gate input flow to a protected urban vehicular network such that travel time Quality of Service (QoS) constraints are preserved within the network. In view of the network to be protected (also called the region), two types of queues are distinguished: external and internal. While external queues represent vehicles waiting to enter the protected network, an internal queue can be used to describe the network's aggregated behaviour. By controlling the number of vehicles entering the internal queue, the travel time within the network subject to the vehicular conservation law and the Network Fundamental Diagram (NFD) can be subsequently controlled. The admission controller can thus be interpreted as a mechanism which transforms the unknown arrival process governing the number of vehicles entering the network to a regulated process, such that prescribed QoS requirements on travel time in the network and upper bound on the external queue are satisfied. The admission control problem is formulated as a constrained convex optimization problem and a Model Predictive control (MPC) problem. A case study demonstrates the benefits of the admission control mechanisms proposed. © 2017

关键词： admission network fundamental diagram perimeter control Quality of Service Traffic control traffic flow travel time

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Iterative Learning control Applied to a Deformable Mirror

Iterative Learning Control Applied to a Deformable Mirror

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第36届中国控制会议

作者： Blazej Cichy Petr Augusta Krzysztof Galkowski Eric Rogers Institute of Control and Computation Engineering University of Zielona Góra Institute of Information Theory and Automation The Czech Academy of Sciences Department of Electronics and Computer Science University of Southampton

An unconditionally stable finite difference discretization motivated by the well-known Crank-Nicolson method is used to develop an iterative learning control design for systems whose dynamics are described by a fourth-order partial differential equation.A discrete in time and space model of a deformable rectangular mirror is derived in this setting and forms the basi s for the new design,where a model for the actuator dynamics is also included.A numerical case study is given to demonstrate the properties of the new design.

关键词： Crank-Nicolson Discretization Method Iterative Learning control Thin Plates

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