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Stability analysis of hybrid neural networks with impulsive time window

International Journal of Biomathematics 2017年第1期10卷 195-208页

作者： Xin Wang Hui Wang Chuandong Li Tingwen Huang Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronics and Information EngineeringSouthwest University Chongqing 400715 P. R. China Key Laboratory of Machine Perception and Children's Intelligence DevelopmentChongqing University of Education P. R. China College of Mathematics Science Chongqing Normal University Chongqing 401331 P. R. China Texas A&M University at QatarDoha P. O. Box 23874 Qatar

The urgent problem with impulsive moments cannot be determined in advance brings new challenges beyond the conventional impulsive systems theory. In order to solve this problem, in this paper, a novel class of system with impulsive time window is proposed. Different from the conventional impulsive control strategies, the main characteristic of the impulsive time window is that impulse occurs in a random manner. Moreover, for the importance of the hybrid neural networks, using switching Lyapunov functions and a generalized Hanlanay inequality, some general criteria for asymptotic and exponential stability of the hybrid neural networks with impulsive time window are established. Finally, some simulations are provided to further illustrate the effectiveness of the results.

关键词： Hybrid neural networks impulsive time window stability.

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Physical-layer secrecy outage of spectrum sharing CR systems over fading channels

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Science China(information Sciences) 2016年第10期59卷 112-120页

作者： Hequn LIU Hui ZHAO Hong JIANG Chaoqing TANG Gaofeng PAN Tingting LI Yunfei CHEN Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University School of Mathematics and Statistics Southwest University School of Engineering University of Warwick

In this paper, we investigate the physical-layer secrecy outage performance of underlay spectrum sharing systems over Rayleigh and log-normal fading channels in the presence of one eavesdropper. In particular, the secondary transmitter sends data to the legitimate receiver under the constraints of the interference temperature at the primary receiver, while suffering the wiretap from the eavesdropper. Closed-form and approximated expressions are derived for the secrecy outage probability over Rayleigh and log-normal fading channels,respectively. The accuracy of our performance analysis is verified by simulation results.

关键词： spectrum sharing cognitive radio secrecy outage probability Rayleigh fading channels log-normal fading channels

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Secrecy Performance Analysis with Optimal DF Relay Selection of Underlay CR Networks over Nakagami-m Fading Channels

Secrecy Performance Analysis with Optimal DF Relay Selection...

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IEEE International Conference on Communications

作者： Huan Zhang Hongjiang Lei Imran Shafique Ansari Gaofeng Pan Zhi Ren Khalid A. Qaraqe Chongqing University of Posts and Telecommunications Chongqing Chongqing CN Department of Electrical and Computer Engineering Texas A&M University at Qatar Education City Doha Qatar Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing China

ISBN: (纸本)9781467390002

In this paper, the secrecy outage performance of an underlay cognitive decode-and-forward (DF) relay network over independent and non-identical distributed (i.n.i.d) Nakagami-m fading channels is investigated, in which the secondary user transmitter communicates with the secondary destination via relays, and an eavesdropper attempts to overhear the information. We assume that the channel state information (CSI) of all links is available. The exact and asymptotic closed-form expressions for the secrecy outage probability with optimal relay selection are derived, and verified by Monte-Carlo simulations. Through asymptotic analysis, we find that the secrecy diversity order is determined by the number of relays and the fading parameters between relay and destination.

关键词： Relays Fading channels Cognitive radio Wireless sensor networks Communication system security Decoding

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Distributed Optimization for Energy Allocation in Mictrogrid Power System

Distributed Optimization for Energy Allocation in Mictrogrid...

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IEEE International Conference on Cyber Technology in Automation, Control, and intelligent Systems

作者： Tiancai Wang Xing He Junjian Huang Miao Sun Yachen He Qin Huang Dongyang Feng Wenming Zhang Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing China Key laboratory of Machine Perception and Children's Intelligence Development Chongqing University of Education Chongqing China

ISBN: (纸本)9781538604915

In this paper, a continuous-time distributed algorithms is proposed to solve the energy allocation problem in microgrid power system. Projected output feedback method is employed in the approach to deal with the local capacity constraints. Each agent in the multi-agent network has its own local objective function, local bound constraint and can access the information from the agent nearby. The agents determine the optimal power generation in the responsible area to minimize the sum of local generation cost function while reaching the global supply and demand balance. Also, the distributed method is applied to test on a six-agent system and the simulation result demonstrates that the algorithm proposed can successfully obtain the optimal power generation and the auxiliary variables of each generator agent can always reach consensus.

关键词： Generators Optimization Resource management Distributed algorithms Power generation Microgrids Smart grids

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Sparse Huber Adaptive Filter with Correntropy Induced Metric Penalty 35

Sparse Huber Adaptive Filter with Correntropy Induced Metric...

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第35届中国控制会议

作者： WANG Shiyuan ZHENG Yunfei DUAN Shukai College of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing

ISBN: (纸本)9781509009107

The Huber adaptive filter is robust both in the Gaussian and non-Gaussian noise *** correntropy induced metric（CIM） is an excellent approximator of the l-norm and can be used as a sparsity penalty ***,a novel sparse method based on the Huber cost with CIM constraint（CIM-Huber） is developed for sparse system identification in this *** comparison,the Huber cost functions with zero-attracting penalty（ZA-Huber） and reweighted zero-attracting penalty（RZA-Huber） algorithm are discussed *** results show that the proposed CIM-Huber has a better performance in the identification of sparse systems than the ZA-Huber and the RZA-Huber,and can also be applied to system identification under the cases of various noise environments.

关键词： Sparse system identification Huber adaptive filter Correntropy induced metric Noise

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Secrecy performance analysis of single-input multiple-output generalized-K fading channels

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Frontiers of information Technology and Electronic Engineering 2016年第10期17卷 1074-1084页

作者： Lei, Hong-jiang Ansari, Imran Shafique Gao, Chao Guo, Yong-cai Pan, Gao-feng Qaraqe, Khalid A. Chongqing Key Laboratory of Mobile Communications Technology Chongqing University of Posts and Telecommunications Chongqing400065 China MOE Key Laboratory of Optoelectronic Technology and Systems Chongqing University Chongqing400044 China Department of Electrical and Computer Engineering Texas A&M University at Qatar Doha Qatar Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing400715 China

In this paper, the transmission of confidential messages through single-input multiple-output (SIMO) independent and identically generalized-K (KG) fading channels is considered, where the eavesdropper overhears the transmission from the transmitter to the receiver. Both the receiver and the eavesdropper are equipped with multiple antennas, and both active and passive eavesdroppings are considered where the channel state information of the eavesdropper’s channel is or is not available at the transmitter. The secrecy performance of SIMO KG systems is investigated. Analytical expressions for secrecy outage probability and average secrecy capacity of SIMO systems are derived via two different methods, in which KG distribution is approximated by the Gamma and mixture Gamma distributions, respectively. Numerical results are presented and verified via the Monte-Carlo simulation. © 2016, Journal of Zhejiang University Science Editorial Office and Springer-Verlag Berlin Heidelberg.

关键词： Fading channels

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A single scale retinex based method for palm vein extraction

A single scale retinex based method for palm vein extraction

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2016 IEEE information Technology,Networking,Electronic and Automation Control Conference(ITNEC 2016)

作者： Chongyang WANG Ming PENG Lingfeng XU Tong CHEN School of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuit and Intelligent Information Processing Southwest University

ISBN: (纸本)9781467391955

Palm vein recognition is a novel biometric identification technology. But how to gain a better vein extraction result from the raw palm image is still a challenging problem,especially when the raw data collection has the problem of asymmetric illumination. This paper proposes a method based on single scale Retinex algorithm to extract palm vein image when strong shadow presents due to asymmetric illumination and uneven geometry of the palm. We test our method on a multispectral palm image. The experimental result shows that the proposed method is robust to the influence of illumination angle and shadow. Compared to the traditional extraction methods, the proposed method can obtain palm vein lines with better visualization performance(the contrast ratio increases by 18.4%,entropy increases by 1.07%, and definition increases by 18.8%).

关键词： palm veint multispectral image Retinex

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Exploring Regulation Effect of Jogging on Human Emotion Based on Pulse Signal

Exploring Regulation Effect of Jogging on Human Emotion Base...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Jianguang Yuan Guangyuan Liu Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing China

ISBN: (纸本)9781509035595

Until recently, claims for the psychological benefits of physical exercise have tended to precede supportive evidence. Actually, emotional effects of exercise remain confusing, both positive and negative effects being reported. Meanwhile, several studies have shown that the aerobic exercise has impact on human's mood through making subjective evaluation of the Profile of Mood States (POMS) before and after exercise. However, the conclusion via comparing with the Profile of Mood States (POMS) scores was lack of the objective basis. In order to explain the result that exercise has effects of adjustment to fear emotion from the objective point of view, therefore, this study researched exercise which can improve mood based on the subjects' physiological signal, and analyzed data using the affective computing. Issues involved in this study are discussed.

关键词： Mood Physiology Time series analysis Affective computing Fatigue Computational intelligence nonlinear circuits

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Recognition of Social Anxiety through the Analysis of BVP Volume Series

Recognition of Social Anxiety through the Analysis of BVP Vo...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Guohong Zheng Guangyuan Liu Hui Hu Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing School of Electronic and Information Engineering Southwest University Chongqing China

ISBN: (纸本)9781509035595

Social anxiety (SA) is highly prevalent in the general population, usually causing the impairment of social function and bringing mental and physical tortures to people. Accurate recognition of SA is significant to help people alleviate their anxiety through appropriate ways of emotion regulation. This paper presents the blood volume pulse (BVP) volume series for the recognition of SA. 30 subjects' high anxiety state and low anxiety state are respectively induced by impromptu speaking with 21 audience and without audience. The mean and the weighted Krawtchouk moments are extracted as the features. Two sample t-test shows that the higher degree of anxiety, the smaller mean of the BVP volume series. Support vector machines and leave-one-subject-out cross validation are used for the recognition of SA. The result shows that the recognition accuracy of high anxiety state and low anxiety state are 90% and 86.67%, respectively.

关键词： Physiology Public speaking Feature extraction Emotion recognition Support vector machines Sociology Statistics

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Facial Expression Recognition of Public Speaking Anxiety

Facial Expression Recognition of Public Speaking Anxiety

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International Symposium on Computational Intelligence and Design, ISCID

作者： Fuli Huang Wanhui Wen Guangyuan Liu Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing School of Electronic and Information Engineering Southwest University Chongqing China

ISBN: (纸本)9781509035595

Public Speaking Anxiety (PSA) is one of the most universal subtypes of social anxiety, and the facial expression recognition of PSA is an immediate area of research focus. The experiment obtained the facial expression data of 18 postgraduates in their thesis defense for the master's degree. Then, valid data were selected by using self-evaluation of the subject and the average evaluation of 5 audience. Next, the paper used Active Shape Model (ASM) algorithm for feature extraction of 68 feature points in 5 facial zones. Moreover, the paper applied support vector machine algorithm to recognize the social anxiety state according to the displacements of the feature points, and backward selection (BS) algorithm was used to find out the most important features in recognition. The result illustrated the validity of the method and obtained the best correct rate of 99% in the recognition of social anxiety state. Meanwhile, the maximum displacement zone in social anxiety state is jaw, and followed by mouth, eyebrow, eyes and nose. Obvious individual differences were found in the formation of anxious facial expression.

关键词： Mouth Feature extraction Public speaking Face Speech Nose Face recognition

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