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	1. f ILC-Motivated Formation Algorithm for Multi-Agent Systems With Communication Time-Delays
	Meng De-Yuan, Du Ming-Jun
	Information Science and System Science 09 December 2015
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	Abstract:In this paper, a high-precision formation control problem is addressed for multi-agent systems in thepresence of switching topologies and communication time-delays. All agents are aimed at achieving thedesired relative formation between each other over a finite-time interval which can be specified. Basedon the nearest neighbor interaction rule, a cooperative iterative learning control (ILC) algorithm isproposed. It is shown that the resulting cooperative ILC process of multi-agent formation systems convergesexponentially fast if and only if the union of interaction digraphs of agents jointly has a spanning treefor each time step along the iteration axis. In particular, if there exists a time-varying reference trajectoryfor a portion of agents, then not only can the relative formation between agentsbe guaranteed but also the formation shape can be regularized simultaneously.
	TO cite this article:Meng De-Yuan, Du Ming-Jun. f ILC-Motivated Formation Algorithm for Multi-Agent Systems With Communication Time-Delays[OL].[ 9 December 2015] http://en.paper.edu.cn/en_releasepaper/content/4669032


	2. Global Stabilization for a Class of Uncertain Nonlinear Time-Delay Systems by Linear Sampled-data Output Feedback
	Chai Lin, Do Hai-bo, Fei Shu-min
	Information Science and System Science 08 December 2015
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	Abstract:This paper investigates the problem of using a linear sampled-data outputfeedback to globally stabilize a class of uncertain nonlinear systems subject totime-delay. The uncertainty of the system satisfies the lower-triangular growth condition affected by time-delay. A linear output feedback controller with a tunable scaling gain is constructed. The proposed control law together with the the observer control law are discrete-time, linear, and memoryless, therefore it is easy to be implemented by computers in practice.
	TO cite this article:Chai Lin, Do Hai-bo, Fei Shu-min. Global Stabilization for a Class of Uncertain Nonlinear Time-Delay Systems by Linear Sampled-data Output Feedback[OL].[ 8 December 2015] http://en.paper.edu.cn/en_releasepaper/content/4668069

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	3. Fault-tolerant control for a class of nonlinear systems with input nonlinearity and actuator faults
	MAO Ze-Hui, XIAO Quan
	Information Science and System Science 30 November 2015
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	Abstract:This paper investigates the fault-tolerant control problem for aclass of nonlinear systems with actuator faults, in which thecontrol input is described by a nonlinear function with dead-zone.In this case, a failure compensation method based fault-tolerantcontrol law is designed using sliding mode and adaptive techniquesto guarantee the stability of the faulty systems, whose faults areunknown constant actuator failures with an unknown occurred time.Then, the proposed method is extended to the trajectory trackingcontrol problem. Finally, an illustrate example is given to show theefficiency of this fault-tolerant control method.
	TO cite this article:MAO Ze-Hui, XIAO Quan. Fault-tolerant control for a class of nonlinear systems with input nonlinearity and actuator faults[OL].[30 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4665985


	4. Consensus of delayed multi-agent systems with stochastic perturbation and impulsive effects
	Shasha Yang, Xiaofeng Liao
	Information Science and System Science 27 November 2015
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	Abstract:In this paper, the problem of consensus of delayed multi-agent systems with stochastic perturbation and impulse effects is investigated.By introducing the stochastic and impulsive disturbances effects which are ubiquitous in both nature and manmade systems into the multi-agent systems, our control scheme is much more reasonable in real systems.Both internal delay and transmission delay are all under consideration in our paper.Based on the algebraic graph theory, the Lyapunov stability theory, and Halanay inequality matrix theory, some adequate conditions are proposed to guarantee the consensus of delayed multi-agent systems with stochastic perturbation via impulsive control. The pinning control is also presented in the paper.Simulation results are provided to verify the validity of the proposed control mechanism finally.
	TO cite this article:Shasha Yang, Xiaofeng Liao. Consensus of delayed multi-agent systems with stochastic perturbation and impulsive effects[OL].[27 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4666000


	5. Global properties of a computer virus model with discontinuous anti-virus strategy
	Liao Xiaofeng,Dong Tao
	Information Science and System Science 27 November 2015
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	Abstract:In this paper, a dynamical model characterizing the spread of computer viruses over the Internet is established, in which two assumptions are imposed: (1) the anti-virus strategy is discontinuous and (2) a computer possesses infectivity once it is infected. The qualitative properties of this model are fully studied. First, the basic reproduction number is determined, which describes the structure of possible equilibria as well as establishes the stability/instability of the equilibria. Second, we find that in the case that the virus-free equilibrium is asymptotically stable, the convergence to the virus-free equilibrium can actually be achieved in finite time, and we can estimate this time in terms of the model parameters, the initial number of the latent computer and breaking out computer and the initial anti-virus strength. This suggests that from the view point of eliminating the virus from the Internet, discontinuous anti-virus strategies would be superior to continuous ones. Finally, an illustrative example is also given to support the theoretical results.
	TO cite this article:Liao Xiaofeng,Dong Tao. Global properties of a computer virus model with discontinuous anti-virus strategy[OL].[27 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4666003


	6. Distributed observer-based stabilization of nonlinear multi-agent systems with sampled-data control
	Ying Wan,Jinde Cao,Guanghui Wen
	Information Science and System Science 21 November 2015
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	Abstract:In this paper, distributed observer-based stabilization problem of multi-agent systems under directed graph is investigated. Distributed observer-based control protocol with sampled-data information is proposed. The dynamics of each agent contain nonlinear part, which is supposed to be general Lipschitz. In order to stabilize the states of the whole network, all the nodes utilize the relative output estimation error at sampling instants and only a small fraction of nodes use the absolute output estimation error additionally. By virtue of ISS property and Lyapunov stability theory, an algorithm to design control gain matrix, observer gain matrix, coupling strength as well as the allowable sampling period are derived. The conditions are in the form of LMIs and algebraic inequality, which are simple in form and easy to verify. Lastly, some further discussions about the solvability of obtained LMIs are given.
	TO cite this article:Ying Wan,Jinde Cao,Guanghui Wen. Distributed observer-based stabilization of nonlinear multi-agent systems with sampled-data control[OL].[21 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4664435


	7. Finite-Time Stability Analysis of FractionalOrder Delayed Memristive Neural Networks
	Li Ruo-Xia, Cao Jin-De
	Information Science and System Science 18 November 2015
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	Abstract:In this paper, the finite-time stability test procedure fornon-autonomous and autonomous fractional order memristive systemswith a pure time delay and commensurate order between 0 and 1 isproposed. First, two appropriate concepts of the finite-timestability for the mentioned systems with and without external inputare introduced. Then, a sufficient condition for finite-timestability of the underlying systems is derived in the frame of someuseful inequalities and appropriate property of the norm. Inparticular, the sufficient conditions are obtained in terms oflinear inequalities, which turn out to be more efficient from thecomputational point of view. Simulation results are given toillustrate the validity of the theoretical results.
	TO cite this article:Li Ruo-Xia, Cao Jin-De. Finite-Time Stability Analysis of FractionalOrder Delayed Memristive Neural Networks[OL].[18 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4663059


	8. Finite-time consensus problems for the continuous-time multi-agent systems
	MIAO Guo-Ying, XU Sheng-Yuan
	Information Science and System Science 16 November 2015
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	Abstract:This paper investigates finite-time consensus for first-order andsecond-order multi-agent systems by using the signum functions ofthe positions and the velocities, respectively. Assume that theleader's velocity is not measured by the followers, a finite-timeneighbor-based consensus protocol for the first-order multi-agentsystem is proposed. Moreover, the finite-time consensus protocol forthe second-order multi-agent system is introduced. Based on thenon-smooth stability theory, sufficient consensus conditions areobtained and the finite-time upper boundaries are derived. Finally,simulation examples are provided to illustrate the effectiveness ofthe theoretical results.
	TO cite this article:MIAO Guo-Ying, XU Sheng-Yuan. Finite-time consensus problems for the continuous-time multi-agent systems[OL].[16 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4661349


	9. Density Clustering Pruning Method Based on Reconstructed Support Vectors for Sparse LS-SVM
	Si Gangquan,Shi Jianquan,Guo Zhang
	Information Science and System Science 06 May 2015
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	Abstract:In least squares support vector machine (LSSVM), nonlinear function estimation is done by solving a linear set of equations instead of solving a quadratic programming problem, and a nonsparse solution is obtained. Several sparse algorithms have been developed to obtain reduced support vectors to improve the generalization performance of LSSVM. However, all of them iteratively look for support vectors in training datasets, which may are not the most superior choice for building the function model. In this paper, we propose a method of reconstructed support vectors based on the training datasets. The support vectors reconstructed are near the hyper plane of target function and uniformly distributed, which have more contribution to target function. In addition, the method we proposed converges at a faster rate than those iterative algorithms, because one-step selecting strategy is adapted without repeated training. To show the efficacy and feasibility of our proposed algorithm, some comparing experiments are conducted, which are all favorable for our viewpoints. That is, the method we proposed needs less number of support vectors to reach the almost same generalization performance, most important, which has the better robustness and accuracy prediction for the real operating mode.
	TO cite this article:Si Gangquan,Shi Jianquan,Guo Zhang. Density Clustering Pruning Method Based on Reconstructed Support Vectors for Sparse LS-SVM[OL].[ 6 May 2015] http://en.paper.edu.cn/en_releasepaper/content/4641959


	10. On Probabilistic Constrained output feedback Stochastic Model Predictive Control
	LI Ji-Wei, LI De-Wei, XI Yu-Geng
	Information Science and System Science 29 April 2015
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	Abstract:This paper designs output-feedback model predictive control for discrete-time stochastic linear systems. An augmented system of both estimated state and estimation erroris formulated. A series of polyhedrons is designed for uncertainty propagation of theaugmented system and handling probabilistic constraints. In particular, the polyhedron of estimation error is maintained over the repeated optimization such that the real system state is properly estimated. The resultant optimization problem of the controller is quadraticprogramming and is solved efficiently. A numerical example is given to illustrateperformance of the controller.
	TO cite this article:LI Ji-Wei, LI De-Wei, XI Yu-Geng. On Probabilistic Constrained output feedback Stochastic Model Predictive Control[OL].[29 April 2015] http://en.paper.edu.cn/en_releasepaper/content/4640982

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