期刊：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL,2015年60(10):2768-2772 ISSN：0018-9286
通讯作者：
Zeng, HB
作者机构：
[She, Jinhua] School of Computer Science, Tokyo University of Technology, Tokyo, Japan;[She, Jinhua] School of Information Science and Engineering, Central South University, Changsha, China;[Zeng, Hong-Bing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China;[Wu, Min; He, Yong] School of Automation, China University of Geosciences, Wuhan, China
作者机构：
[She, Jinhua] School of Engineering, Tokyo University of Technology, Tokyo, Japan;[She, Jinhua; Wu, Min; He, Yong] School of Automation, China University of Geosciences, Wuhan, China;[Zeng, Hong-Bing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China
关键词：
Delay dependent conditions - Distributed delays - Integral inequalities - Lyapunov-Krasovskii functionals - New results - Stability analysis - Stability condition - Systems with time delay
摘要：
The integral inequality technique is widely used to derive delay-dependent conditions, and various integral inequalities have been developed to reduce the conservatism of the conditions derived. In this study, a new integral inequality was devised that is tighter than existing ones. It was used to investigate the stability of linear systems with a discrete distributed delay, and a new stability condition was established. The results can be applied to systems with a delay belonging to an interval, which may be unstable when the delay is small or nonexistent. Three numerical examples demonstrate the effectiveness and the smaller conservatism of the method. (C) 2015 Elsevier Ltd. All rights reserved.
作者机构：
[Zhang, Changfan; Li, Xiangfei; He, Jing; Sun, Jian; Liao, Huijun] College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, Hunan, China
期刊：
IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council,2011年22(5):806-812 ISSN：1045-9227
通讯作者：
Zeng, H.-B.
作者机构：
[Zhang, Chang-Fan; Zeng, Hong-Bing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412008, China;[Wu, Min; Zeng, Hong-Bing; He, Yong] School of Information Science and Engineering, Central South University, Changsha 410083, China
通讯机构：
[Zeng, Hong-Bing] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China.
作者机构：
[Xiao, Shen-Ping; Zeng, Hong-Bing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412008, China;[Wu, Min; Zeng, Hong-Bing; He, Yong] School of Information Science and Engineering, Central South University, Changsha 410083, China
通讯机构：
[Wu, Min] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China.
摘要：
This paper deals with the problem of passivity analysis for neural networks with both time-varying delay and norm-bounded parameter uncertainties by employing an improved free-weighting matrix approach. Some useful terms have been retained, which were used to be ignored in the derivative of Lyapunov-Krasovskii functional. Furthermore, the relationship among the time-varying delay, its upper bound and their difference is taken into account. As a result, for two types of time-varying delays, less conservative delay-dependent passivity conditions are obtained in terms of linear matrix inequalities (LMIs), respectively. Finally, a numerical example is given to demonstrate the effectiveness of the proposed techniques. (C) 2010 Elsevier B.V. All rights reserved.
期刊：
Systems and Control Letters,2016年92:52-61 ISSN：0167-6911
通讯作者：
He, Yong(heyong08@cug.edu.cn)
作者机构：
[Jiang, L.; Zhang, Chuan-Ke] Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, United Kingdom;[Wu, Min; Zhang, Chuan-Ke; He, Yong] School of Automation, China University of Geosciences, Wuhan, China;[Zeng, Hong-Bing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China
通讯机构：
[He, Yong] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China.
关键词：
Auxiliary functions - Delay bound - Integral inequalities - Integral terms - Lyapunov-Krasovskii functionals - Stability analysis - Time varying- delays - Time-delay systems
作者：
Zeng, Hong-Bing;Park, Ju H.;Xia, Jian-Wei;Xiao, Shen-Ping
期刊：
Applied Mathematics and Computation,2014年235:492-501 ISSN：0096-3003
通讯作者：
Park, J.H.(jessie@ynu.ac.kr)
作者机构：
[Xiao, Shen-Ping; Zeng, Hong-Bing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China;[Xia, Jian-Wei] School of Mathematic Science, Liaocheng University, Shandong 252000, China;[Xia, Jian-Wei; Zeng, Hong-Bing; Park, Ju H.] Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyongsan 712-749, Korea, Republic of
通讯机构：
[Park, Ju H.] Yeungnam Univ, Dept Elect Engn, 280 Daehak Ro, Kyongsan 712749, South Korea.
关键词：
Delay decompositions - Delay dependent stability criterion - Integral inequalities - Lyapunov-Krasovskii functionals - Semi-definite programming - Stability condition - T S fuzzy system - Time-varying delay
摘要：
This paper focuses on the problems of stability and dissipativity analysis for static neural networks (NN) with interval time-varying delay. A new augmented Lyapunov Krasovskii functional is firstly constructed, in which the information on the activation function is taken fully into account. Then, by employing a Wirtinger-based inequality to estimate the derivative of Lyapunov Krasovskii functional, an improved stability criterion is derived for the considered neural networks. The result is extended to dissipafivity analysis and a sufficient condition is established to assure the neural networks strictly dissipative. Two numerical examples are provided to demonstrate the effectiveness and the advantages of the proposed method. (C) 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
期刊：
IEEE Transactions on Cybernetics,2014年44(6):785-792 ISSN：2168-2267
通讯作者：
Zeng, Hong-Bing
作者机构：
[Wu, Min; Zeng, Hong-Bing; He, Yong; Xiao, Hui-Qin] School of Information Science and Engineering, Central South University, Changsha 410083, China;[Wu, Min; Zeng, Hong-Bing; He, Yong; Xiao, Hui-Qin] Hunan Engineering Laboratory for Advanced Control and Intelligent Automation, Changsha 410083, China;[Zeng, Hong-Bing; Xiao, Hui-Qin] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
通讯机构：
[Zeng, Hong-Bing] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China.
作者机构：
[Xiao, Shen-Ping; Zeng, Hong-Bing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China;[Wu, Min; He, Yong] School of Automation, China University of Geosciences, Wuhan, China
摘要：
This paper focuses on the delay-dependent stability of a class of generalized neural networks (NNs) with time-varying delays. A free-matrix-based inequality is presented by introducing a set of slack variables, which encompasses the Wirtinger-based inequality as a special case. Then, by constructing a suitable Lyapunov Krasovskii functional and utilizing the new inequality to bound the derivative of the Lyapunov Krasovskii functional, some sufficient conditions are derived to assure the stability of the considered neural networks. Three numerical examples are provided to demonstrate the effectiveness and the significant improvement of the proposed method. (C) 2015 Elsevier B.V. All rights reserved.
作者机构：
[Park, Ju H.; Zeng, Hong-Bing] Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyongsan, Korea, Republic of;[Shen, Hao] School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China;[Zeng, Hong-Bing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China
通讯机构：
[Park, Ju H.] Yeungnam Univ, Dept Elect Engn, 280 Daehak Ro, Kyongsan 712749, South Korea.
关键词：
Augmented lyapunov functional - Delay - Discrete and distributed delays - Integral inequalities - Lyapunov-Krasovskii functionals - Neuron activation function - Passivity - Passivity analysis
期刊：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL,2016年61(9):2663-2669 ISSN：0018-9286
通讯作者：
He, Y
作者机构：
[Jiang, L.; Zhang, Chuan-Ke] Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, United Kingdom;[Wu, Min; Zhang, Chuan-Ke; He, Yong] School of Automation, China University of Geosciences, Wuhan, 430074, China;[Zeng, Hong-Bing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, 412007, China
通讯机构：
[He, Yong] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China.
关键词：
Augmented lyapunov functional - Dependent stability - Discrete - time systems - Estimation approaches - Free-weighting matrices - Linear discrete-time systems - Lyapunov functionals - Time varying- delays
期刊：
Applied Mathematics and Computation,2015年257:417-427 ISSN：0096-3003
通讯作者：
Zhao, YL
作者机构：
[Zhao, Yulin] School of Science, Hunan University of Technology, Zhuzhou, Hunan, China;[Qin, Bin] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China;[Chen, Haibo] Department of Mathematics, Central South University, Changsha, Hunan, China
作者机构：
[Park, Ju H.; Zeng, Hong-Bing] Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyongsan, Korea, Republic of;[Xia, Jian-Wei] School of Mathematic Science, Liaocheng University, Liaocheng, Shandong, China;[Zeng, Hong-Bing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China
通讯机构：
[Park, Ju H.] Yeungnam Univ, Dept Elect Engn, 280 Daehak Ro, Kyongsan 712749, South Korea.
关键词：
Activation functions - Dissipativity - Dissipativity analysis - Integral inequalities - Krasovskii functional - Randomly occurring uncertainties - Time varying- delays - White noise sequence
作者机构：
[Park, Ju H.; Xia, Jianwei] Department of Electrical Engineering, Yeungnam University, 214-1 Dae-Dong, Kyongsan, Korea, Republic of;[Xia, Jianwei] School of Mathematics Science, Liaocheng University, Shandong, China;[Zeng, Hongbing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China
通讯机构：
[Park, Ju H.] Yeungnam Univ, Dept Elect Engn, 214-1 Dae Dong, Kyongsan 712749, South Korea.
摘要：
This paper deals with the problem of robust stochastic stability analysis for a class of neutral-type uncertain neural networks with Markovian jumping parameters and time-varying delays. By introducing an novel mode-dependent Augmented Lyapunov-Krasovskii functional with delay partitioning and Wirtinger-based integral inequality techniques, some improved delay-dependent stochastically stable conditions are proposed in the form of LMIs. Numerical simulations are provided to show the effectiveness and less conservatism of the results. (c) 2014 Elsevier B.V. All rights reserved.
期刊：
International Journal of Robust and Nonlinear Control,2011年21(14):1667-1676 ISSN：1049-8923
通讯作者：
Wu, M
作者机构：
[Wu, Min; Zeng, Hong-Bing; He, Yong] School of Information Science and Engineering, Central South University, Changsha 410083, China;[Xiao, Shen-Ping] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412008, China
通讯机构：
[Wu, Min] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China.
关键词：
Absolute stability - Cone complementary linearization - cone complementary linearization (CCL) algorithm - Lurie systems - network-induced delay - Network-induced delays - Networked control systems - Numerical example - State feedback controller - Time varying - Upper Bound
摘要：
Rational design and fabrication of multimodal imaging nanoprobes are of great significance for many imaging applications. Here, we report the systhesis of water-soluble hexagonal NaYF4:Yb, Er up-conversion phosphors (UCPs) with branched structure by hexadecylpyridinium chloride (CPC) and tri-sodium citrate (Na(3)Cit) binary cationic/anionic capping agents assisted hydrothermal reaction. The crystal phase, morphology, and size of NaYF4:Yb, Er UCP were controlled by the concentration of Na(3)Cit and CPC, molar ratio of NaF:RE3+, hydrothermal temperature, hydrothermal time, as well as analyzed by transmission electron microscopy (TEM), high-resolution TEM (HRTEM), X-ray diffraction (XRD). By tuning and optimizing hydrothermal conditions, NaYF4 UCPs experienced the phase transition from pure cubic phase to mixed cubic/hexagonal phases to pure hexagonal phase, as well as morphology changes from spherical nanoparticles to short pillar structures, and ultimately to branched structures. Due to the special geometrical shape, the branched NaYF4:Yb, Er UCPs could be blended with host materials without further surface modification. As a proof-of-concept, branched NaYF4:Yb, Er phosphors were then incorporated into polyvinyl alcohol (PVA) matrix to develop a novel luminescence composite film. The resulting PVA/NaYF4:Yb, Er composite film possessed optical transparence at daylight and emitted green fluorescence at the irradiation of a 980 nm laser. NaYF4:Yb, Er phosphors and hybrid PVA/NaYF4:Yb, Er demonstrate high potential of fluorescent materials used for anti-counterfeiting and other optical applications.
作者机构：
[Shi, Peng] College of Automation, Harbin Engineering University, Heilongjiang, China;[Shi, Peng] School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, Australia;[Shi, Peng] School of Engineering and Science, Victoria University, Melbourne, Australia;[Xiao, Shen-Ping; Zeng, Hong-Bing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China;[Wu, Min; He, Yong] School of Automation, China University of Geosciences, Wuhan, China
摘要：
This paper focuses on the problem of delay-dependent dissipativity analysis for a class of neural networks with time-varying delays. A free-matrix-based inequality method is developed by introducing a set of slack variables, which can be optimized via existing convex optimization algorithms. Then, by employing Lyapunov functional approach, sufficient conditions are derived to guarantee that the considered neural networks are strictly (Q, S, R)-gamma-dissipative. The conditions are presented in terms of linear matrix inequalities and can be readily checked and solved. Numerical examples are finally provided to demonstrate the effectiveness and advantages of the proposed new design techniques. (C) 2015 Elsevier B.V. All rights reserved.
作者机构：
[Park, Ju H.; Xia, Jianwei] Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyongsan 712-749, Korea, Republic of;[Shen, Hao] School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243002, China;[Xia, Jianwei] School of Mathematics Science, Liaocheng University, Shandong 252000, China;[Zeng, Hongbing] School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
通讯机构：
[Park, Ju H.] Yeungnam Univ, Dept Elect Engn, 280 Daehak Ro, Kyongsan 712749, South Korea.
摘要：
This paper deals with the problem of robust exponential stability for a class of uncertain stochastic neural networks with multiple delays. Based on the multiple-difference-dependent Lyapunov-Krasovskii functional and free-weighting matrices method, some novel stability criteria for the addressed uncertain stochastic neural networks are derived. At last, two numerical examples are presented to show the effectiveness and improvement of the proposed results. (C) 2014 Elsevier B.V. All rights reserved.
