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第37届中国控制会议

作者： Shuhuan Wen Jianhua Chen Zhen Li Ahmad B.Rad Kamal Mohammed Othman the Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University the school of Engineering Sciences Simon Fraser University

This paper proposes a fuzzy Q-learning(FQL)algorithm to solve the problem of the robot obstacle avoidance in unknown *** algorithm is used to localize the position of the *** Q-learning algorithm,optimized Q-learning algorithm,FQL algorithm are *** simulation results show that FQL algorithm has a faster learning speed than other two algorithms and the results demonstrate that the fuzzy Q-learning obstacle avoidance algorithm is effective.

关键词： FASTSLAM fuzzy logic control path planning obstacle avoidance Q-learning

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Review of visual saliency detection with comprehensive information

arXiv

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arXiv 2018年

作者： Cong, Runmin Lei, Jianjun Fu, Huazhu Cheng, Ming-Ming Lin, Weisi Huang, Qingming School of Electrical and Information Engineering Tianjin University Tianjin300072 China Inception Institute of Artificial Intelligence Abu Dhabi United Arab Emirates School of Computer and Control Engineering Nankai University Tianjin300071 China School of Computer Science Engineering Nanyang Technological University Singapore639798 Singapore School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing100190 China

Visual saliency detection model simulates the human visual system to perceive the scene, and has been widely used in many vision tasks. With the development of acquisition technology, more comprehensive information, such as depth cue, inter-image correspondence, or temporal relationship, is available to extend image saliency detection to RGBD saliency detection, co-saliency detection, or video saliency detection. RGBD saliency detection model focuses on extracting the salient regions from RGBD images by combining the depth information. Co-saliency detection model introduces the inter-image correspondence constraint to discover the common salient object in an image group. The goal of video saliency detection model is to locate the motion-related salient object in video sequences, which considers the motion cue and spatiotemporal constraint jointly. In this paper, we review different types of saliency detection algorithms, summarize the important issues of the existing methods, and discuss the existent problems and future works. Moreover, the evaluation datasets and quantitative measurements are briefly introduced, and the experimental analysis and discission are conducted to provide a holistic overview of different saliency detection methods. Copyright © 2018, The Authors. All rights reserved.

关键词： Object detection

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A New Direct Heart Sound Segmentation Approach using Bi-directional GRU

A New Direct Heart Sound Segmentation Approach using Bi-dire...

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International Conference on Automation and Computing (ICAC)

作者： Tianqi Fan Jin Zhu Yongqiang Cheng Qingde Li Dongfei Xue Robert Munnoch Department of Control Science and Engineering Tongji University Shanghai China School of Engineering and Computer Science University of Hull Hull UK

ISBN: (纸本)9781538648919

Heart sound segmentation is a key step in automatic analysis of phonocardiogram (PCG) for early pathology detection. In this paper, we propose a novel method inspired by the Part of Speech (POS) tagging problem for heart sound segmentation. We use a Bi-directional Gated Recurrent Unit (GRU) to predict the state of the heart sound cycles directly, steering away from the traditionally used envelopes and time-frequency based features. Our method is evaluated on a large dataset using a 10-fold cross-validation. The proposed method has achieved overall 96.86% accuracy and the F1 score is 98.40% on the test sets. The proposed method has outperformed other existing state of the art methods by 1-3 percentage in terms of accuracy and F1.

关键词： Heart Bidirectional control Training Neural networks Databases Turning Phonocardiography

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Continuous Attribute Reduction Method Based on an Automatic Clustering Algorithm and Decision Entropy 36

Continuous Attribute Reduction Method Based on an Automatic ...

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第36届中国控制会议

作者： Hairong Sun Rui Wang Bixia Xie Yao Tian School of Control and Computer Engineering North China Electric Power University Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation

ISBN: (纸本)9781538629185

The data in the process of power plant are mostly *** at the problems existing in the discretization of the continuous attributes with associated relationship,a strategy combining k-means clustering algorithm and the degree of compatibility of the decision table was *** degree of compatibility was taken as judgment conditions to determine whether a new cluster type is added,while ensuring that the degree of compatibility can be *** method take full account of the relationship among *** automatic clustering is realized when discretizing the continuous attributes,which makes the clustering results effective and *** attribute reduction algorithm based on approximate decision entropy is used to extract the main relations of the system,and the dimensionality of the data set can be effectively *** improved scheme is applied to continuous data of main steam temperature system of thermal power plant,and the validity of the method is verified.

关键词： Automatic clustering Continuous attribute Attribute reduction Decision Entropy Degree of compatibility

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Sanitation approach toward resource recovery in rural and semi-urban centers: Insight from South South Nigeria

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Environmental Quality Management 2018年第1期28卷 13-19页

作者： Odey, Emmanuel Alepu Li, Zifu Giwa, Abdulmoseen Segun Etokidem, Esther Uduak School of Energy and Environmental Engineering Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants University of Science and Technology Beijing Beijing China State key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing China Department of Electronics and Computer Technology University of Calabar Calabar Nigeria

Recent sanitation situations in Nigeria present public health problems, especially in rural and semi-urban centers. Local and national government bodies in the country have defined policies to provide adequate sanitation for the populations under their control as stated in relevant decrees and policies. However, those who work as health providers in Nigeria regard conditions in many parts of the country as unhygienic and unhealthy due to a lack of adequate sanitation and because the sanitation facilities that are in place are often ineffective. Interviews with householders in rural and semi-urban centers showed that more than 72% of the people in rural communities lack access to adequate sanitation and toilet systems, especially in public institutions. While in semi-urban centers about 91% of the residents use septic tanks without treatment facility, the remaining 8% use toilet systems such as community toilets, wet pit latrines, and open defecation. Both rural and semi-urban centers do not use urine-diverting dry toilets or septic tanks with treatment facilities. Given the present sanitation situation, this study proposes a modern toilet system in rural communities that will enhance the recovery of biogas and nutrients as fertilizer for soil amendment through appropriate implementation, use, and maintenance. The results could be useful as a support for decisions on policies and strategies for adequate and improved sanitation facilities in rural and semi-urban centers in South South Nigeria. © 2018 Wiley Periodicals, Inc.

关键词： biogas fecal sludge rural centers sanitation semi-urban centers soil amendment South South Nigeria

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Study on Fuzzy control of Circulating Fluidized Bed Temperature 3

Study on Fuzzy Control of Circulating Fluidized Bed Temperat...

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2017 3rd IEEE International Conference on control Science and Systems engineering (ICCSSE)

作者： Hai Rong Sun Peng Sun School of Control and Computer Engineering North China Electric Power University Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation

ISBN: (纸本)9781538604854

As the pollution of the modern society, the circulating fluidized bed boiler, typical of new type, efficiency and low pollution, is booming. Nevertheless, its combustion process is more sophisticated than the common one. As that, it is difficult to build an accurate digital model. As the control effect, the traditional PID is less easy to be effective. The bed temperature is an important parameter in the operation of the circulating fluidized bed boiler, and is the key to the failurefree operation. The fuzzy controller was designed to the bed temperature and was proofed through the simulation experiment of the Matlab. The result has demonstrated that for the control of the sophisticated system, fuzzy control is the best way to achieve the intended goal, compared with the PID the common one.

关键词： circulating fluidized bed bed temperature fuzzy controller

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Visual Tracking of Dynamic Overhead Cranes via Sparse Representation

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Procedia computer Science 2018年 131卷 361-366页

作者： Tianlei Wang Nanlin Tan Chi Zhang Chang Zhou Yihang Zhi School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing 100044 China School of Information Engineering Wuyi University Jiangmen 529020 China School of Mechanical and Electrical Engineering Wuyi University Jiangmen 529020 China School of Computer Wuyi University Jiangmen 529020 China

Fast and accurate tracking is ultimate important to dynamic overhead cranes control. This work presents a simple yet effective fast dynamic overhead cranes tracking method, enabling it to be applied to accurate and real time controlled. Firstly, a sparse measurement matrix is utilized to acquire the features. Secondly, compressed samples are utilized in constructing sparse measurement matrix. Finally, tracking of dynamic overhead cranes is represented as a binary classification with Bayesian classifier. Experimental results on VOT2013 benchmark and self-built Cranes40 dataset show that the proposed sparse representation tracking algorithm could achieve satisfying results on tracking overhead cranes.

关键词： Visual tracking Dynamic overhead cranes Sparse Representation Bayesian classifier

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Optimal Task Partition and Power Allocation for Mobile Edge Computing with NOMA

Optimal Task Partition and Power Allocation for Mobile Edge ...

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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Fang Fang Yanqing Xu Zhiguo Ding Chao Shen Mugen Peng George K. Karagiannidis School of Electrical and Electronic Engineering The University of Manchester UK State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Key Laboratory of Universal Wireless Communications Beijing University of Posts and Telecommunications Ministry of Education Beijing China Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Mobile edge computing (MEC) can provide considerable computing capabilities for Internet of Things (IoT) devices, especially for applications with latency sensitive tasks. By applying non-orthogonal multiple access (NOMA) in MEC, multiple users can offload their tasks simultaneously on the same frequency band. In this paper, the minimization problem of task completion time is investigated for the NOMA enabled multi-user MEC networks. We adopt \emph{partial offloading}, in which each user's task can be partitioned, while the formulated problem is quasi-convex. Thus a bisection search (BSS) algorithm is proposed to achieve the minimum task completion time for the multi- user case. To reduce the complexity and evaluate the optimality of the BSS algorithm, we further derive closed- form expressions for the optimal task partition ratio and offloading power for a two-user NOMA-MEC network. Simulations demonstrate the convergence and optimality of the proposed BSS algorithm and the effectiveness of the optimal approach.

关键词： Task analysis NOMA Servers Energy consumption Minimization Resource management Internet of Things

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A Novel Anti-Swing Positioning controller for Two Dimensional Bridge Crane via Dynamic Sliding Mode Variable Structure

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Procedia computer Science 2018年 131卷 626-632页

作者： Tianlei Wang Nanlin Tan Chang Zhou Chi Zhang Yihang Zhi School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing 100044 China School of Information Engineering Wuyi University Jiangmen 529020 China School of Mechanical and Electrical Engineering Wuyi University Jiangmen 529020 China School of Computer Wuyi University Jiangmen 529020 China

To improve the control performance of anti-swinging and the orientation of two-dimensional bridge crane, a novel dynamic sliding mode variable structure control algorithm is presented here. The proposed controller can ensure global stability through improved design of sliding surface for the drive control force, and obtain the continuous driving control force in time domain, by using the Sigmoid function for switching function to suppress chattering. Experimental results demonstrated that it is effective on chattering suppression, swing reduction, and robust with various load qualities and friction resistances.

关键词： Bridge crane Under-actuated system Dynamic sliding mode Chattering reduction

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Exponential convergence for distributed smooth optimization under the restricted secant inequality condition

arXiv

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arXiv 2019年

作者： Yi, Xinlei Zhang, Shengjun Yang, Tao Johansson, Karl H. Chai, Tianyou Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm100 44 Sweden Department of Electrical Engineering University of North Texas DentonTX76203 United States State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China

This paper considers the distributed smooth optimization problem in which the objective is to minimize a global cost function formed by a sum of local smooth cost functions, by using local information exchange. The standard assumption for proving exponential/linear convergence of first-order methods is the strong convexity of the cost functions, which does not hold for many practical applications. In this paper, we first show that the continuous-time distributed primal-dual gradient algorithm converges to one global minimizer exponentially under the assumption that the global cost function satisfies the restricted secant inequality condition. This condition is weaker than the strong convexity condition since it does not require convexity and the global minimizers are not necessary to be unique. We then show that the discrete-time distributed primal-dual algorithm constructed by using the Euler's approximation method converges to one global minimizer linearly under the same condition. The theoretical results are illustrated by numerical simulations. Copyright © 2019, The Authors. All rights reserved.

关键词： Continuous time systems

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