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arXiv 2017年

作者： Liu, Xiaoyu Sun, Jian Dou, Lihua Chen, Jie Key Laboratory of Intelligent Control and Design of Complex Systems Beijing Institute of Technology Beijing100081 China

In this paper, the problem of event-triggered consensus for linear continuous-time multi-agent systems is investigated. A new event-triggered consensus protocol based on a predictor is proposed to achieve consensus without continuous communication among agents. In the proposed consensus protocol, each agent only needs to monitor its states to determine its event-triggered instants. When an event is triggered, the agent will update its consensus protocol and sent its state information to its neighbors. In addition, the agent will also update its consensus protocol and the predictor when it receives the state information from its neighbors. A necessary and sufficient condition that the consensus problem can be solved is derived. Moreover, it is proved that Zeno behavior does not exist. Finally, a numerical example is given to illustrate that the protocol proposed in this paper can make the multi-agent systems achieve consensus through much fewer event-triggered times. Copyright © 2017, The Authors. All rights reserved.

关键词： Multi agent systems

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Target Tracking by Two UAVs under Constraint of Distances Coordination 35

Target Tracking by Two UAVs under Constraint of Distances Co...

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第35届中国控制会议

作者： LIU Hong-Yang PENG Zhi-Hong CHEN Jie FANG Hao School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology

ISBN: (纸本)9781509009107

Coordinated target tracking for a team of two heterogeneous Unmanned Aerial Vehicles(UAVs) is *** order to study the coordinated relationship by means of distances of UAV-to-target and UAV-to-UAV,a constraint of distances coordination is *** from the traditional studies that focus on angular separation or communication connectivity for UAVs,this constraint takes the effect of geometric configuration for two UAVs coordination into ***,the constraint only applies to follower UAV,aiming to obtain its optimal coordinated distance to *** this way,accuracy of target state estimation and optimal geometric configuration of target tracking for UAVs are *** Information filter is used to estimate the target location on a 2-D plane,and a receding horizon approach is applied to generate the optimal control policy for two UAVs' *** results illustrated the effectiveness.

关键词： UAVs target tracking state estimation constraint of distances coordination

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Dynamical analysis of fractional-order financial system with delay 5

Dynamical analysis of fractional-order financial system with...

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5th International Workshop on Advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Zhang, Zhe Liu, Feng Zhang, Jin Sun, Fenglan Ren, Jie School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China College of Electrical and Information Engineering Hunan University Hunan410082 China Research Center of System Theory and Application Chongqing University of Posts and Telecommunications Chongqing400065 China

This paper we investigates the problem of stability and bifurcation of fractional-order financial system time-delay via the Lyapunov stability judgment method and application of impulse control method. Finally, a numerical simulation example is provided to verify the effectiveness and the benefit of the proposed stability and bifurcation criterion.

关键词： Bifurcation (mathematics)

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Single-Phase-to-Ground Fault Diagnosis Method based on Waveform Features and Association Rule Algorithm

Single-Phase-to-Ground Fault Diagnosis Method based on Wavef...

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International Conference on Renewable Power Generation

作者： Linlin Zhang Kai Xu Fang Shi Yunbo Wang Shuozheng Liu The Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education (Shandong University) 17923 Jingshi Road Jinan PR China Shenhua Guoneng Shandong Construction Group Jinan P.R. China 250001 Guangxi Power Grid Company Nanning Power Supply company 43 Xingguang Road Nanning China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

The single-phase-to-ground fault current of distribution network is small, which brings difficulties to fault diagnosis. A single-phase-to-ground fault diagnosis method based on synchronous waveform feature extraction and association rule mining is proposed. Firstly, features are extracted from waveform of fault recorders to describe the fault scene. Then, FP-Growth algorithm is used to mine the association rules in the fault transaction database. The effectiveness of proposed method is verified by IEEE 34-bus system. Algorithm in this paper provides a useful reference for fault diagnosis technology based on fault waveform features.

关键词： Waveform features Association rules Single-Phase-To-Ground Fault diagnosis

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Parallel medical imaging for intelligent medical image analysis: Concepts, methods, and applications

arXiv

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arXiv 2019年

作者： Gou, Chao Shen, Tianyu Zheng, Wenbo Xue, Huadan Yu, Hui Ji, Qiang Jin, Zhengyu Wang, Fei-Yue School of Intelligent Systems Engineering Sun Yat-sen University Guangzhou510275 China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China School of Software Engineering Xi’an Jiaotong University Xi’an710049 China Department of Radiology Peking Union Medical College Hospital Chinese Academy of Medical Sciences Peking Union Medical College Beijing100730 China School of Creative Technologies University of Portsmouth PortsmouthPO1 2DJ United Kingdom Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Qingdao Academy of Intelligent Industries Qingdao266000 China

Data-driven artificial intelligence technologies have made much progress in medical image analysis in the last decades. However, it still remains challenging due to its distinctive complexity of acquiring and annotating image data, extracting medical domain knowledge, and explaining the diagnostic decision for medical image analysis. In this paper, we propose a data-knowledge-driven framework termed as Parallel Medical Imaging (PMI) for intelligent medical image analysis based on the methodology of interactive ACP-based parallel intelligence. In the PMI framework, computational experiments with predictive learning in a data-driven way are conducted to extract medical knowledge for diagnostic decision support. Artificial imaging systems are introduced to select and prescriptively generate medical image data in a knowledge-driven way to utilize medical domain knowledge. Through the closed-loop optimization based on parallel execution, our proposed PMI framework can boost the generalization ability and alleviate the limitation of medical interpretation for diagnostic decisions. Furthermore, we illustrate the preliminary implementation of PMI method through the case studies of mammogram analysis and skin lesion image analysis. Experimental results on several public medical image datasets demonstrate the effectiveness of proposed PMI. © 2019, CC BY.

关键词： Medical imaging

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Automatic Safety Helmet Wearing Detection

Automatic Safety Helmet Wearing Detection

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IEEE International Conference on Cyber Technology in Automation, control, and intelligent systems

作者： Kang Li Xiaoguang Zhao Jiang Bian Min Tan The State Key Laboratory of Management and Control for Complex System University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781538604915

Surveillance is very essential for the safety of power substation. The detection of whether wearing safety helmets or not for perambulatory workers is the key component of overall intelligent surveillance system in power substation. In this paper, a novel and practical safety helmet detection framework based on computer vision, machine learning and image processing is proposed. In order to ascertain motion objects in power substation, the ViBe background modelling algorithm is employed. Moreover, based on the result of motion objects segmentation, real-time human classification framework C4 is applied to locate pedestrian in power substation accurately and quickly. Finally, according to the result of pedestrian detection, the safety helmet wearing detection is implemented using the head location, the color space transformation and the color feature discrimination. Extensive compelling experimental results in power substation illustrate the efficiency and effectiveness of the proposed framework.

关键词： Safety Substations Feature extraction Image color analysis Support vector machines Surveillance Classification algorithms

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Influence of Micro-texture Parameters on Bone Drilling Force and Torque: A Finite Element Model

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IOP Conference Series: Materials Science and Engineering 2019年第1期470卷

作者： Yahui Hu Xiangjun Li Chuncheng Chen Lili Su Qingchun Zheng Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin 300384 China Tianjin University of Technology 391 Binshui West Road Xiqing District Tianjin 300384 China.

The micro-texture on the tool surface is an effective way to improve the quality of the drilling. While high-performance micro-texture plays an important role in improving the quality of working surface and prolonging the life of tool. In this study, a three-dimensional finite element model was established to study the relationship between drilling thrust, torque and microstructure parameters (micro-pit depth, micro-pit diameter and micro-pit spacing) during drilling of cortical bone. The model was validated by cortical bone drilling using a micro-structured tool. On basis of this, the thrust and torque prediction models of the micro-texture parameters were obtained. The results indicate that the thrust and torque increased with the increase of micro-pit diameter; while the increase of the micro-pit spacing caused the thrust and torque to decrease. When the depth of the micro-pit increased, the thrust and torque decreased first and then increased, and we found that the effect of micro-pit spacing and micro-pit depth on force and torque is insignificant.

关键词：

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CIRCUIT-BENDING A VINTAGE CASIO AN ′80S SYNTHESIZER IS REBORN AS AN AVANT-GARDE INSTRUMENT

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IEEE SPECTRUM 2016年第5期53卷 24-26页

作者： Cass, Stephen Smil, Vaclav Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China STMicroelectronics Crolles France

I've been increasingly intrigued by electronic music, sparked in large part by covering an exhibition of designer theremins for IEEE Spectrum in 2013, followed by watching documentaries such as 2014's I Dream of Wires, which traces the history of the modular synthesizer. One notable cohort in the modern electronic music scene are the circuit benders. These folks modify all sorts of audio-enabled equipment, including children's toys and digital keyboards, to produce sounds definitely not intended by the designers. So when I came across the Casio SK-5 keyboard I'd received for my 14th Christmas lurking in my parents' attic, I pounced. Released in 1987, and aimed at younger players, the Casio SK-5 was never intended to be used by serious musicians. The keyboard had only 32 "minikeys" sized for smaller fingers, and it could play just four notes simultaneously. The SK-5 could mimic a number of instruments, but its killer feature was that you could create your own instrument sounds through sampling audio (at a whopping 8-bit resolution).

关键词： Timing circuits

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Image super-resolution via Gaussian scale patch group sparse representation

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International Journal of intelligent Information and Database systems 2018年第2-3期11卷 186-206页

作者： Minghu, Wu Yaqi, Lu Nan, Zhao Min, Liu Cong, Liu Shangli, Zhou Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy Hubei University of Technology Wuhan430068 China Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Hubei University of Technology Wuhan430068 China Hubei Power Grid Intelligent Control and Equipment Engineering Technology Research Center Hubei University of Technology Wuhan430068 China

This passage puts forward a Gaussian scale patch group sparse representation method, to solve the shortage problem of traditional image super-resolution restoration schemes. Our image reconstruction method is focused on the optimisation of sparse representation method model, which brings the method and performance improvement to image sparse reconstruction. The overall framework of our approach is as follows. First of all, we utilised the nonlocal similar patches to extract the patch groups, and then using the simultaneous sparse coding to develop a nonlocal extension of Gaussian scale mixture model. In the end, we integrate the patch group model and Gaussian scale sparsity model into encoding framework. The experimental simulation results show that the proposed framework method can both maintain the clarity of the edge and also inhibit the bad artefacts. Our method often provides a higher subjective/objective quality of reconstructed images than other competing methods. © 2018 Inderscience Enterprises Ltd.

关键词： Image enhancement

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Solutions Verification for Cloud-Based Networked control system using Karush-Kuhn-Tucker Conditions

Solutions Verification for Cloud-Based Networked Control Sys...

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Chinese Automation Congress

作者： Yasir Ali Zhen Shen Fenghua Zhu Gang Xiong Shichao Chen Yuanqing Xia Fei-Yue Wang The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Cloud Computing Center Chinese Academy of Sciences Dongguan China School of Automation Beijing Institute of Technology China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China

The rapid development of the Cloud Computing Technologies (CCTs) has amended the conventional design of resource-constrained Network control system (NCS) to the powerful and flexible design of Cloud-Based Networked control system (CB-NCS) by relocating the processing part to the cloud server. This arrangement has produced many internets based exquisite applications. However, this new arrangement has also raised many network security challenges for the cloud-based control system related to cyber-physical part of the system. In the absence of robust verification methodology, an attacker can launch the modification attack in order to destabilize or take control of NCS. It is desirable that there shall be a solution authentication methodology used to verify whether the incoming solutions are coming from the cloud or not. This paper proposes a methodology used for the verification of the receiving solution to the local control system from the cloud using Karush-Kuhn-Tucker (KKT) conditions, which is then applied to actuator after verification and thus ensure the stability in case of modification attack.

关键词： Cloud-based control system Security of NCS Analysis of solution verification for NCS KKT conditions

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