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Event-based synchronisation of linear discrete-time dynamical networks

IET control Theory and Applications 2015年第5期9卷 755-765页

作者： Chen, Michael Z.Q. Zhang, Liangyin Su, Housheng Li, Chanying Department of Mechanical Engineering University of Hong Kong Hong Kong School of Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science andTechnology Luoyu Road 1037 Wuhan430074 China National Center for Mathematics and Interdisciplinary Sciences Chinese Academy of Sciences Beijing100090 China

This study investigates the problem of event-based synchronisation of linear discrete-time dynamical networks. Leader-following and leaderless synchronisations are achieved by a distributed event-trigger strategy. It is shown that feedback control updating is unnecessary until an event is triggered. The combinational-state variables and the Riccati equation are used to construct a Liapunov function and to design the event-triggering conditions. Numerical examples are provided to illustrate the theoretical results. © The Institution of Engineering and Technology 2015.

关键词： Riccati equations

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A Novel Target Tracking Approach Based on ORB Used in Micromanipulation System

A Novel Target Tracking Approach Based on ORB Used in Microm...

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2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Lei Zuo Xinhan Huang Wen Zuo Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Scienc Key Laboratory of Image Processing andIntelligent Control of Education Department of Control Science College of Electronical Engineering NavalUniversity of EngineeringWuhan 430033China

Micromanipulation robot is a system which often does some precise manipulations in micro scale space, such as centimeter or millimeter level space, in which micro visual servo system plays a very important *** visual servo system, it’s difficult to give consideration to two or more things such as location accuracy and real-time property at the same *** this paper, we introduced a novel approach which suited our system very well and could meet both of the above *** was called ORB, a novel feature extracting method which outperformed many current excellent methods such as SIFT and SURF.

关键词： visual servo system feature extracting ORB feature matching target tracking

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H ∞ based decoupling tracking control of hypersonic vehicle

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IFAC Proceedings Volumes 2014年第3期47卷 894-899页

作者： Xuejing Lan Zhishen Wang Lei Liu Yongji Wan School of Automation Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

The H ∞ based decoupling tracking control is studied in this paper. A virtual system constituted by the controlled system and the no coupling reference model is firstly set up. The controlled system is driven to follow the reference model to realize the decoupling. And the tracking error can be formulated by the H ∞ norm of the virtual system. Then the controller is derived by minimizing the H ∞ norm, which can be described by Linear Matrix Inequalities (LMIs). The necessary and sufficient condition of existence of controller is derived based on the LMIs above. A flight control example is given to illustrate the effectiveness of the proposed method. The simulation results show that the proposed method is of better control performance than Linear Quadratic (LQ) tracking controller.

关键词： decoupling control reference model H ∞ LMI hypersonic vehicle

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Dim Small Targets Detection Based on Dualband Infrared image Fusion

Dim Small Targets Detection Based on Dualband Infrared Image...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Yu-Qiu Sun Jin-Wen Tian Jian Liu State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recongnition and Artificial Intelliegence Huazhong University of Science and Technology Wuhan China School of Information and Mathematics Yangtze University Jingzhou China State Education Commission Key Laboratory for Image Processing and Intelligent Control Department of Electronic Information and Enginery Huazhong University of Science and Technology Wuhan China

To infrared images, the contrast of target and background is low, dim small targets have no concrete shapes and their textures cannot be reliable predicted. The paper puts forward a novel algorithm to fuse mid-wave and long-wave infrared images and detect targets. Firstly, the source images are decomposed by wavelet transformation. In usual, targets in infrared images are man-made, and their fractal dimension is different comparing with natural background. In wavelet transformation domain high-frequency part, we calculate local fractal dimension and set up fusion rule to merge corresponding sub-images of two matching source images. In low-frequency, we extract local maximum gray level to fuse them. Then reconstruct image by wavelet inverse transformation and obtain fused result image. In fusion results, the contrast between targets and background has obvious changes. And targets can be detected using contrast thresholding. The experimental results show that the method using fractal dimension to fuse dualband infrared images, and then detect targets is superior to use mid-wave or long -wave infrared images detect targets alone.

关键词： Object detection Dual band Infrared imaging Infrared detectors image fusion Fuses Fractals Concrete Shape Wavelet domain

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Edge preserving post-processing of wavelet compressed image

Edge preserving post-processing of wavelet compressed image

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International Conference on Signal processing Proceedings (ICSP)

作者： Yihua Tan Jinwen Tian Jian Liu State Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

This paper proposes a new post-processing algorithm with edge preserving. To control the granular and edge preserving in the process of post-processing, we introduce a new potential function. To avoid the non-linear obstacle, the object energy is converted with half-quadratic regularization. At last, the implementation of the algorithm is improved to speed up the computation. Experiments show our method can achieve the design object that effectively remove artifacts at the same time maintain the edges.

关键词： image coding Degradation image restoration Discrete cosine transforms Decoding Bit rate Quantization image reconstruction Laboratories image processing

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Dim small targets fusion detection in infrared image

Dim small targets fusion detection in infrared image

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yu-Qiu Sun Yu Zheng Jin-Wen Tian Jian Liu School of Information and Mathematics Yangtze University Jingzhou China State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China State Education Commission Key Laboratory for Image Processing and Intelligent Control Department of Electronic Information and Enginery of Huazhong University of Science and Technology Wuhan China

To infrared images, the contrast of target and background is low, dim small targets have no concrete shapes and their textures cannot be reliable predicted. The paper puts forward a novel algorithm to fuse mid-wave and long-wave infrared images and detect targets. Firstly, the source images are decomposed by wavelet transformation. In usual, targets in infrared images are man-made, and their fractal dimension is different comparing with natural background. In wavelet transformation domain high-frequency part, we calculate local fractal dimension and set up fusion rule to merge corresponding sub-images of two matching source images. In low-frequency, we extract local maximum gray level to fuse them. Then reconstruct image by wavelet inverse transformation and obtain fused result image. In fusion results, the contrast between targets and background has obvious changes. And targets can be detected using contrast threshold. The experimental results show that the method proposed in this paper using wavelet transformation fractal dimension to fuse dual band infrared images, and then detect targets is better than using mid-wave or long -wave infrared images detect targets alone.

关键词： Fractals Wavelet transforms Pixel Object detection Fuses Approximation methods Manganese

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Refrigerant capacity detection of dehumidifier based on time series and neural networks 1

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13th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2018

作者： Peng, Gang Yang, Zuhuang Wang, Min School of Automation Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry Wuhan China Shenzhen Institute Huazhong University of Science and Technology Shenzhen518060 China

ISBN: (数字)9789811328299

ISBN: (纸本)9789811328282

Refrigerant leakage is common in the use of dehumidifier, leading to decrease of dehumidification ability. To detect refrigerant capacity effectively and maintain it timely, a neural network with deep learning skills was proposed based on time series. As input of networks, the time series consists of the operating parameters of the dehumidifier at multiple time points. To determine the refrigerant capacity, the proposed method combines the outputs on the neural networks of all the time series examples in a single run of dehumidifier. As the result suggests, the proposed method is capable of detecting the refrigerant capacity with a low missing rate and high accuracy, which improves the maintenance mechanism of the dehumidifier and is of great significance to ensuring a comfortable air environment for user. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Time series

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An improved artificial bee colony algorithm and its taguchi analysis 1

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13th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2018

作者： Ni, Yudong Li, Yuanyuan Shen, Yindong School of Mathematics Hefei University of Technology Hefei230009 China School of Automation Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Wuhan430074 China

ISBN: (数字)9789811328299

ISBN: (纸本)9789811328282

The artificial bee colony (ABC) algorithm is one of well-known evolutionary algorithms, which has been successfully applied to many continuous or combinatorial optimization problems. To increase further its convergence speed and avoid being trapped in local optimum, this paper proposes an improved ABC algorithm (IABC), which aims to enhance diversification of search at each stage of the ABC algorithm. Firstly, a chaotic mapping rule is established by introducing a chaos operator into the initial position generation rules in order to ensure the ergodicity of initial positions. Then, an isometric contraction parallel search rule is devised, based on which a neighborhood search on initial positions is performed to enhance the convergence speed and the local search ability. Next, a parallel selection strategy is developed by using roulette and reverse roulette simultaneously, which allows selecting poor positions to escape from local optimum. Meanwhile, a global updating mechanism based on gravitational potential field is developed, which can guide the rejection and generation of positions to accelerate the convergence of the algorithm. The computational results show that the IABC can improve the convergence speed and solution quality without falling into the local optimum prematurely. Finally, a further analysis on the IABC is conducted using the Taguchi method, which focuses on the factor level setting related to the following key factors: chaotic mapping rules in the initial position generation rules, isometric contraction parallel search rules, parallel selection strategies and the update threshold in the global updating mechanism. The results display that the optimal combination of factor levels has been achieved in the IABC. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Taguchi methods

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$H_{\infty}$ consensus control of fractional-order multi-agent systems over the directed graph

$H_{\infty}$ consensus control of fractional-order multi-age...

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Chinese control Conference (CCC)

作者： Lin Chen Wen-Sen Wang Hao Wu Yan Lei Jiang-Wen Xiao Key Laboratory of Image Processing and Intelligent Control Ministry of Education State grid shanxi electric power research institute

In this paper, the H ∞ consensus of fractional-order multi-agent systems with directed communication graph is investigated. It's the first time to introduce the H ∞ control to investigate the consensus problem of the fractional-order multi-agent systems. In view of Mittag-Leffler stability theory and fractional Lyapunov directed method, a sufficient condition is presented to guarantee all the agents reach consensus with the desired H ∞ performance. Finally, the results are verified by several numerical simulations.

关键词： Multi-agent systems control systems Laplace equations Eigenvalues and eigenfunctions Power system stability Stability analysis Graph theory

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Improvement of directed diffusion protocol based on data aggregation

Improvement of directed diffusion protocol based on data agg...

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2009 International Conference on Computational Science and Engineering, CSE '09

作者： Hui, Chen Yufeng, Shi Ye, Wang Yang, Laurence T. Naixue, Xiong Key laboratory of ministry of education for image processing and intelligent control Huazhong University of Science and Technology Wuhan China Department of Computer Science St Francis Xavier University Canada Department of Computer Science Georgia State University Georgia GA United States

ISBN: (纸本)9780769538235

How to make full use of the limited energy available and prolonging the survival time of node is a major concern in research on Wireless Sensor Networks (WSNs). This paper presented an improved approach based on Directed Diffusion Protocol (DDP) which could meet the features of WSN, such as data-oriented, many-to-one transmissions and low energy costs, together with data aggregation mechanisms which emphasized on cascading timeouts, to eliminate the redundancy caused by the transmission of large amounts of data. This modified protocol prohibited the direct forwarding of central nodes, balancing data traffic of different sensors between the source and the sink, and proved to be able of reducing total network flows, energy consumptions and prolonging the lifetime of the network through simulations.

关键词： Sensor nodes

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