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	1. Further Results on Stability Analysisfor Systems with Time-Delay via a Refined Integral Inequality
	ZENG Hong-Bing , HE Yong, WU Min , SHE Jinhua, SHE Jinhua
	Electrics, Communication and Autocontrol Technology 21 January 2017
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	Abstract:The integral inequality technique is an effective method to establishdelay-dependent stability conditions, and a variety of integral inequalities havebeen developed to reduce conservatism of the conditions.Among them, a free-matrix-based integral inequality was devised by introducing some auxiliary functions. It was proved that the stability condition derived using this inequalityis more tighter than others. To reduce computation complexity, this papershows a method to further refine the integral inequality by getting rid of free matrices.The refined integral inequality is used to investigate the stability of time-delay systems,and some less conservative conditions are devised. Numerical examples show that the theoretical boundsand those given by the method are almost the same.
	TO cite this article:ZENG Hong-Bing , HE Yong, WU Min , et al. Further Results on Stability Analysisfor Systems with Time-Delay via a Refined Integral Inequality[OL].[21 January 2017] http://en.paper.edu.cn/en_releasepaper/content/4717995


	2. Stability analysis and anti-windup design for multiple time-varying delay systems subject to actuator saturation
	WANG Naizhou,Pei Hailong,ZHANG Cheng
	Electrics, Communication and Autocontrol Technology 12 March 2014
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	Abstract:This paper investigates the characterization of stability regionsfor linear systems with multiple time-varying delays subject to actuator saturations through anti-windup strategies. In particular, the anti-windup synthesis considering both magnitude and rate limitsof time-varying delays is addressed. Using the general sectorcondition and by quadratic Lyapunov functional, the stabilityconditions in linear matrix inequality (LMI) forms are presented.Hence, the estimation of the stability region is maximized bysolving a convex optimization problem. At the end of the paper,numerical examples are shown to illustrate the effectiveness of theproposed methods and the trade-off between the size of the magnitudeand rate limits of time-varying delays and the stability regions.
	TO cite this article:WANG Naizhou,Pei Hailong,ZHANG Cheng. Stability analysis and anti-windup design for multiple time-varying delay systems subject to actuator saturation[OL].[12 March 2014] http://en.paper.edu.cn/en_releasepaper/content/4589059


	3. Robust Stabilization for a Class of Uncertain Switched NonlinearSystems via Backstepping Recursive Design
	Wang Chunyan,JIAO Xiaohong,SHI Shengli
	Electrics, Communication and Autocontrol Technology 20 June 2012
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	Abstract:This paper is devoted to robust stabilization problem for a class of uncertain switched nonlinear systems with lower triangular structure. A new systematic recursive algorithm for designing a common stabilizing controller is proposed based on backstepping method. It is demonstrated theoretically the constructed controller can guarantee the resulting closed-loop switched system to be robust globally asymptotically stable at the equilibrium for any switching signal. Moreover, an illustrative example is given to show the effectiveness of the given recursive approach.
	TO cite this article:Wang Chunyan,JIAO Xiaohong,SHI Shengli. Robust Stabilization for a Class of Uncertain Switched NonlinearSystems via Backstepping Recursive Design[OL].[20 June 2012] http://en.paper.edu.cn/en_releasepaper/content/4482646


	4. Adaptive Sampling Method to Control Energy Consumption in Wireless Networked Control Systems
	Wang Yan,Ji Zhi-cheng
	Electrics, Communication and Autocontrol Technology 12 April 2011
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	Abstract:In wireless network environment, the limited energy of nodes is the main problem affecting control performance and running of system. The relationship between the sampling period and life span is given based on energy consumption analysis. Then an adaptive sampling method is designed to control energy consumption of wireless nodes from both the requirements of control performance and network life span. The life span is predicted online using the known information of remaining energy and consumption rate. Under the constrains of stability and schedulability, the bounds of sampling period are determined. The sampling period is adjusted dynamically according to control error and life span error under a priori rule. So, the life span can be prolonged while the control quality is guaranteed. The effectiveness of the method proposed is validated by a numerical example on the Matlab and Truetime platform.
	TO cite this article:Wang Yan,Ji Zhi-cheng. Adaptive Sampling Method to Control Energy Consumption in Wireless Networked Control Systems[OL].[12 April 2011] http://en.paper.edu.cn/en_releasepaper/content/4421711


	5. Study on the Control and Location of Inductively powered Automatic Guided Vehicle
	Liu Wei,Sun Yue,Su Yugang,Dai Xin,Qin Yunyou,Xia Chenyang
	Electrics, Communication and Autocontrol Technology 21 August 2010
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	Abstract:For Automatic Guided Vehicle (AGV) powered by Inductively Coupled Power Transfer (ICPT), the location accuracy and control rapidity of the electromagnetic-guided system is not enough due to the nonlinear distribution of the electromagnetic field, the slide between wheels and ground, the inconsistency of the motor speed performance and so on. This paper proposes a four-coil pickup topology for the location accuracy and power pickup, and then designs the adaptive fuzzy PID controller to replace the conventional PID controller for the improvement of the control rapidity. The simulation results show that the new guidance control system has better control performances on the rapidity and stability than the conventional PID control guidance system with two electromagnetic detectors.
	TO cite this article:Liu Wei,Sun Yue,Su Yugang, et al. Study on the Control and Location of Inductively powered Automatic Guided Vehicle[OL].[21 August 2010] http://en.paper.edu.cn/en_releasepaper/content/4382541


	6. Synchronization in Singular Hybrid Complex Networks with Delayed Coupling
	Jianfang Zeng,Jinde Cao
	Electrics, Communication and Autocontrol Technology 25 May 2009
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	Abstract:This paper considers synchronization problem of singular hybrid networks with coupled delay. Although, for nonsingular systems with delays, there are a number of synchronization results, the corresponding results for singular systems is still a challenging task, because of the singularity, which is the reason we are not able to utilize the Lyapunov method directly here, make singular systems much more complicated than regular systems. The singular system is regular and impulsive free. A sufficient condition for global synchronization is derived by developing a strict linear matrix inequality (LMI) designed approach. Finally, two numerical examples are provided to show the effective of the proposed conditions.
	TO cite this article:Jianfang Zeng,Jinde Cao. Synchronization in Singular Hybrid Complex Networks with Delayed Coupling[OL].[25 May 2009] http://en.paper.edu.cn/en_releasepaper/content/32532


	7. Optimization of EM algorithm and its application to spike classification
	Yin Haibing ,Hu Dewen ,Liu Yadong ,Li Ming,Wan Yucheng
	Electrics, Communication and Autocontrol Technology 10 April 2008
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	Abstract:Recently, several methods have been developed for automatic spike classification, including the Expectation Maximization (EM) clustering based on multivariate t-distribution mixture models. However, studies showed that EM algorithm has linearity convergence, and in terms of spike classification, this method could not be used practically for the large time expending. In this study, we introduced an optimized EM algorithm for spike classification with multivariate t-distribution finite mixture models. Our algorithm optimizes the EM iterative algorithm with classic ascent gradient in high dimension characteristic space of spikes, thus the convergence becomes better than its original linearity. The application of our optimized EM algorithm in real spike data showed a faster and more robust performance in the convergence, and better capability of the spike classification.
	TO cite this article:Yin Haibing ,Hu Dewen ,Liu Yadong , et al. Optimization of EM algorithm and its application to spike classification[OL].[10 April 2008] http://en.paper.edu.cn/en_releasepaper/content/20309

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