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Dynamic Ca²⁺ Sensitivity of BK Channels

BIOPHYSICAL JOURNAL 2014年第2期106卷 437A-437A页

作者： Hou, Panpan Xiao, Feng Ming Yuchi Zhang, Guohui Wu, Ying Wang, Wei Zeng, Wenping Ding, Mingyue Wu, Zhengxing Cui, Jianming Ding, Jiuping Huazhong Univ Sci & Technol Key Lab Mol Biophys Minist Educ Coll Life Sci & Technol Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Minist Educ Dept Biomed EngnColl Life Sci & Technol Wuhan 430074 Hubei Peoples R China Washington Univ Dept Biomed Engn Ctr Invest Membrane Excitabil Disorders Cardiac Bioelect & Arrhythmia Ctr St Louis MO 63130 USA Soochow Univ Dept Pharmacol Coll Pharmaceut Sci Suzhou 215123 Peoples R China

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Solving Vertex Cover Problem Using DNA Tile Assembly Model

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JOURNAL OF APPLIED MATHEMATICS 2013年第unknown期2013卷 1-7页

作者： Chen, Zhihua Song, Tao Huang, Yufang Shi, Xiaolong Huazhong Univ Sci & Technol Sch Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Hubei Peoples R China

DNA tile assembly models are a class of mathematically distributed and parallel biocomputing models in DNA tiles. In previous works, tile assembly models have been proved be Turing-universal;that is, the system can do what Turing machine can do. In this paper, we use tile systems to solve computational hard problem. Mathematically, we construct three tile subsystems, which can be combined together to solve vertex cover problem. As a result, each of the proposed tile subsystems consists of Theta(1) types of tiles, and the assembly process is executed in a parallel way (like DNA's biological function in cells);thus the systems can generate the solution of the problem in linear time with respect to the size of the graph.

关键词： DNA models BIOCOMPUTERS TURING machines LINEAR systems GRAPH theory NUMERICAL solutions to difference equations

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Sparse non-negative matrix factorizations for ultrasound factor analysis

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OPTIK 2013年第23期124卷 5891-5897页

作者： Chen, Xi Wu, Kaizhi Ding, Mingyue Sang, Nong Huazhong Univ Sci & Technol Sci & Technol Multispectral Informat Proc Lab Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Dept Biomed Engn Key Lab Image Proc & Intelligent Control Sch Life Sci & TechnolEduc Minist China Wuhan 430074 Peoples R China Nanchang Hangkong Univ Sch Informat Engn Nanchang 330063 Peoples R China

Factor analysis is a powerful tool used for the analysis of dynamic studies. One of the major drawbacks of Factor Analysis of Dynamic Structures (FADS) is that the solution is not mathematically unique when only non-negativity constraints are used to determine factors and factor coefficients. In this paper, we introduce a novel method to correct FADS solutions by constructing and minimizing a new objective function. The method is improved from non-negative matrix factorizations (NMFs) algorithm by adding a sparse constraint that penalizes multiple components in the images of the factor coefficients. The technique is tested on computer simulations, and a patient ultrasound liver study. The results show that the method works well in comparison to the truth in computer simulations and to region of interest (ROI) measurements in the experimental studies. (C) 2013 Elsevier GmbH. All rights reserved.

关键词： Dynamic ultrasound Factor analysis Sparse NMF

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Second-order Leader-following Consensus of Multi-agent Systems with Nonlinear Dynamics and Time Delay via Periodically Intermittent Pinning control

Second-order Leader-following Consensus of Multi-agent Syste...

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9th Asian control Conference (ASCC)

作者： Wang, Xiaoling Liu, Bo Su, Housheng Wang, Xiaofan North China Univ Technol Coll Sci Beijing 100144 Peoples R China Huazhong Univ Sci & Technol Minist China Dept Control Sci & Engn Key Lab Image Proc & Intelligent Control Educ Wuhan 430074 Peoples R China Shanghai Jiao Tong Univ Dept Automat Shanghai 200240 Peoples R China

ISBN: (纸本)9781467357692;9781467357678

This paper investigates the second-order leader-following consensus of multi-agent systems with nonlinear dynamics and time delay by virtue of the periodically intermittent pinning control. All member agents and the virtual leader share the same nonlinear dynamics related to both the position information and the velocity information. Based on Lyapunov stability theory, some useful criteria are obtained to drive all the agents to achieve consensus. Finally, a numerical example is presented to illustrate the theoretical results.

关键词： Second-order consensus multi-agent systems time delay pinning control intermittent control

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Distributed leader-following swarm of heterogeneous multi-agent systems

Distributed leader-following swarm of heterogeneous multi-ag...

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13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications, LSS 2013

作者： Liang, Haili Su, Housheng Wang, Xiaofan Chen, Michael Z. Q. Department of Automation Shanghai Jiao Tong University Ministry of Education of China Shanghai 200240 China School of Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Luoyu Road 1037 Wuhan 430074 China Department of Mechanical Engineering University of Hong Kong Hong Kong

This paper investigates distributed leader-following swarm of heterogeneous multi-agent systems. Comparing with the existing works on leader-following swarm of homogeneous multi-agent systems, this paper is much more approaching the practical situation because the agents have different dynamics. We show that the heterogeneous followers will gather with a certain error lever under some assumptions and conditions. The stability properties have been proven by theoretical analysis and verified via numerical simulation. The stability of the heterogeneous multi-agent systems has been achieved based on matrix theory and the Lyapunov stability theorem. Numerical simulation is given to demonstrate the effectiveness of the theoretical result. © IFAC.

关键词： Multi agent systems

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Swarm Stability of Heterogeneous Multi-agent Systems via Periodically Intermittent control

Swarm Stability of Heterogeneous Multi-agent Systems via Per...

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32nd Chinese control Conference (CCC)

作者： Liang, Haili Su, Housheng Wang, Xiaofan Chen, Michael Z. Q. Shanghai Jiao Tong Univ Dept Automat Shanghai 200240 Peoples R China Minist Educ China Key Lab Syst Control & Informat Proc Shanghai 200240 Peoples R China Huazhong Univ Sci & Technol Sch Automat Image Proc & Intelligent Control Key Lab Educ Minist China Wuhan 430074 Peoples R China Univ Hong Kong Dept Mech Engn Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9789881563835

This paper investigates distributed leader-following swarm stability of heterogeneous multi-agent systems with periodically intermittent control. We assume that the agents in the network are nonidentical and the coupling matrix is balanced. Each heterogeneous follower is assumed to obtain some information from the leader and the neighbors only on a series of periodically time intervals. We show that the system will be exponentially stable. The stability properties are proved via theoretical analysis and verified via numerical simulations. The stability of the heterogeneous multi-agent systems is proved based on matrix theory and the Lyapunov stability theorem. A numerical example is shown to demonstrate the effectiveness of the theoretical result.

关键词： Multi-agent systems Heterogeneous systems Intermittent control Swarm

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A Less Conservative Criterion for Exponential Mean-square Stability of Networked control Systems with Stochastic Packet Dropouts

A Less Conservative Criterion for Exponential Mean-square St...

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第三十二届中国控制会议

作者： Wen-Min Zhou Yan Wu Yan-Wu Wang Jiang-Wen Xiao School of Automation Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan Institute of Marine Electric Propulsion CSIC

ISBN: (纸本)9781479900305

This paper is concerned with the modeling and the control of networked control systems(NCSs) with stochastic packet *** order to facilitate the technical description,network-induced time delay is assumed to be *** closed-loop NCS with stochastic packet dropout is modeled as a continuous-time system with time-varying delays and stochastic parameters. By utilizing the Lyapunov-Krasovskii functional method,the integral inequality lemma and the Gronwall-Bellman lemma,a less conservative criterion for exponential mean-square stability of NCS with stochastic packet dropout is presented in the form of nonlinear matrix ***,the state feedback gain matrix is provided based on solving a linear matrix inequality (LMI).Moreover,the state feedback gain matrix is obtained by solving a linear matrix inequality(LMI).Based on the solvability of this LMI,the allowable upper bound of continuous packet dropouts is determined,from which the maximum allowable time interval(MATI) can also be ***,a numerical example is given to demonstrate the effectiveness of our results.

关键词： exponential mean-square stability networked control system stochastic packet dropout maximum allowable time interval

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Global exponential synchronization of memristor-based recurrent neural networks with time-varying delays

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NEURAL NETWORKS 2013年 48卷 195-203页

作者： Wen, Shiping Bao, Gang Zeng, Zhigang Chen, Yiran Huang, Tingwen Huazhong Univ Sci & Technol Sch Automat Wuhan 430074 Peoples R China Educ Minist China Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Texas A&M Univ Doha 5825 Qatar Three Geoges Univ Sch Elect Yichang 443002 Peoples R China Univ Pittsburgh Dept Elect & Comp Engn Pittsburgh PA 15261 USA

This paper deals with the problem of global exponential synchronization of a class of memristor-based recurrent neural networks with time-varying delays based on the fuzzy theory and Lyapunov method. First, a memristor-based recurrent neural network is designed. Then, considering the state-dependent properties of the memristor, a new fuzzy model employing parallel distributed compensation (PDC) gives a new way to analyze the complicated memristor-based neural networks with only two subsystems. Comparisons between results in this paper and in the previous ones have been made. They show that the results in this paper improve and generalized the results derived in the previous literature. An example is also given to illustrate the effectiveness of the results. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Memristor Synchronization Recurrent neural networks Time-varying delays

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Batteries Not Included

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IEEE MICROWAVE MAGAZINE 2013年第2期14卷 63-72页

作者： Xu, Qi Gao, Zhaolong Wang, Hao He, Jiping Mao, Zhi-Hong Sun, Mingui Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Educ Minist Dept Control Sci & Engn Wuhan 430074 Peoples R China Arizona State Univ Dept Bioengn Tempe AZ 85284 USA Univ Pittsburgh Dept Elect & Comp Engn Pittsburgh PA 15260 USA Univ Pittsburgh Dept Neurol Surg Pittsburgh PA 15260 USA Univ Pittsburgh Dept Elect & Comp Engn Pittsburgh PA 15260 USA Univ Pittsburgh Dept Bioengn Pittsburgh PA 15260 USA

Implantable devices have become increasingly popular in modern medicine. These devices have a wide range of applications, such as health monitoring, disease prevention, delivery of a therapeutic regimen, and biomimetic prosthesis. For example, electrical stimulation of nerve tissue and recording of neural electrical activity are the basis of emerging prostheses and treatments for spinal cord injury, stroke, sensory deficits, and neurological disorders [1]-[5]. Being able to record neural activity from awake animals with observable behavior has greatly advanced our understanding of the neural mechanisms that mediate behavior. Conventional microelectrode recording techniques typically require a percutaneous connector, which is associated with infection risks. Generally, in order to obtain stable recordings, animals must be trained to accept some degree of restraint (e.g., head fixation). Not only is the mobility of the animal subject limited, but the results obtained under such restricted conditions may not reflect the full repertoire of brain activity that occurs during natural behaviors [2]. This issue can be addressed with implantable electronics to record neural activity and wirelessly transmit this data through the skin to an external device. A wireless technique is then required to transmit both data and power, connecting the external system and the implanted devices.

关键词： Wireless communication Biomedical equipment Low-power electronics Implants Biomedical monitoring Diseases Electrical stimulation Connectors Batteries Power transfer Power transmission

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Optimal Soft Lunar Landing Based on Differential Evolution

Optimal Soft Lunar Landing Based on Differential Evolution

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IEEE International Conference on Industrial Technology (ICIT)

作者： Chang, Songtao Wang, Yongji Wei, Xing Huazhong Univ Sci & Technol Dept Control Sci & Engn Key Lab Minist Educ Image Proc & Intelligent Cont Wuhan Peoples R China

ISBN: (纸本)9781467345675;9781467345682

Soft lunar landing optimization is a complex optimal control problem. Applying polynomial interpolation, control curves are expressed by N parameters which represent ordinates at N-Order Chebyshev polynomial's roots. The states of the problem are determined by numerical integration. Then, the problem is translated to a nonlinear programming problem(NLP) whose decision vector is the parameters of the interpolation polynomials. It is solved by an efficient stochastic algorithm-differential evolution(DE) incorporated with constraints processing method. The algorithm is convenient to implement due to only a few parameters need to be set. In order to evaluate the algorithm, a scenario simulation is given. The results are compared with a direct transcription method in literature, and it shows that the solution of our algorithm is comparable to the counterpart.

关键词： aerospace control curve fitting evolutionary computation integration nonlinear programming optimal control polynomial approximation space vehicles vectors

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