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	1. A new method for third-order sliding mode control design with finite-time stability
	LI Xue-Bing , DING Shi-Hong
	Information Science and System Science 07 January 2015
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	Abstract:This paper considers the sliding mode control design problem for anonlinear control system, and a new third-order sliding mode control approach is proposed.The advantage of the third-order sliding mode control lies in that the uncertainty of the nonlinear systemcan be bounded by a positive function rather than a constant.Then, the finite-time stability analysis is also proposed. Simulation results show the effectiveness of the proposed method.
	TO cite this article:LI Xue-Bing , DING Shi-Hong. A new method for third-order sliding mode control design with finite-time stability[OL].[ 7 January 2015] http://en.paper.edu.cn/en_releasepaper/content/4626301


	2. Cluster Consensus in Networks of Agents With Weighted Cooperative-Competitive Interactions Via Nonlinear Protocols
	Zhou Meng,Zhan Jingyuan,Li Xiang
	Information Science and System Science 25 December 2014
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	Abstract:In this paper, we consider the consensus problem of networks of agents with weighted cooperative-competitive interactions via nonlinear protocols. Each agent in the multi-agent system is endowed with a value representing its intrinsic interaction property, based on which, the cooperative-competitive interaction weights are decided. Two types of nonlinear protocols with weighted cooperative-competitive interactions are proposed. By using Lyapunov function method, it is proved that these protocols lead to cluster consensus, and the agents are in the same cluster if and only if their interaction properties are the same. Several numerical examples are presented to demonstrate the effectiveness of the theoretical results.
	TO cite this article:Zhou Meng,Zhan Jingyuan,Li Xiang. Cluster Consensus in Networks of Agents With Weighted Cooperative-Competitive Interactions Via Nonlinear Protocols[OL].[25 December 2014] http://en.paper.edu.cn/en_releasepaper/content/4625464

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	3. On Convex Formulation of Linear Constrained Model Predictive Control
	LI Ji-Wei, LI De-Wei, XI Yu-Geng
	Information Science and System Science 02 December 2014
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	Abstract:This paper develops a model predictive control strategy for stochastic linearsystems with both multiplicative and additive uncertainty. The random natureof the system is characterized by a sequence of polytopes, in which thestate-transition matrix evolves with certain probability. Design of the polytopesrelies on random samples of the transition matrix, and computation of thepolytopes is efficient through a convex optimization. On the basis of thepolytopic description, linear probabilistic constraints can be transformedinto deterministic ones and be solved in low computation burden. The proposed MPCalgorithm ensures probabilistic constraints and closed-loop stability. The resultsare illustrated by a numerical example.
	TO cite this article:LI Ji-Wei, LI De-Wei, XI Yu-Geng. On Convex Formulation of Linear Constrained Model Predictive Control[OL].[ 2 December 2014] http://en.paper.edu.cn/en_releasepaper/content/4621383


	4. Global adaptive output feedback control for hysteretic actuators failure compensation of a class of nonlinear systems
	LIN Yan, ZHANG Xu
	Information Science and System Science 23 November 2014
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	Abstract:We consider theproblem of global output feedback stabilization for a class ofnonlinear time-delay systems. Compared with the previous works, theclass of nonlinear time-delay systems is greatly enlarged. Based ona dynamic gain scaling technique, an adaptive output feedbackcontroller independent of the time-delay is explicitly constructed.By introducing a new scaled Lyapunov function and employing theLyapunov-Krasovskii method, it is proved that global stabilizationof the nonlinear time-delay systems can be achieved by the proposedscheme.
	TO cite this article:LIN Yan, ZHANG Xu. Global adaptive output feedback control for hysteretic actuators failure compensation of a class of nonlinear systems[OL].[23 November 2014] http://en.paper.edu.cn/en_releasepaper/content/4619479


	5. Duality Principle between Linear Estimation and LinearQuadratic Regulation for Discrete Time-delay Systems
	Xinmin Song, Xuehua Yan
	Information Science and System Science 19 November 2014
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	Abstract:This paper investigates the duality between the estimation and control problems for time-delay systems.We first consider the estimation problem for linear discrete-time systems in the presenceof multiplicative noise and time delays, where the delays appear in both state and measurementequations. Based on the innovation analysis approach, the linear minimum mean square error estimators are developed in terms of a forward partial difference Riccati equationand a forward Lyapunov equation.Then the linear quadratic regulation (LQR) problem for deterministic time-delay systems is discussed based on the dynamic programming technique, and the controlleris given in terms of a backward partial difference Riccati equation and a backward Lyapunov equation. Finally,after comparing the estimation and control results, we establish a dualitybetween the estimation problem for time-delay systems with multiplicative noise andthe LQR problem for deterministic time-delay systems with constraint conditions.
	TO cite this article:Xinmin Song, Xuehua Yan. Duality Principle between Linear Estimation and LinearQuadratic Regulation for Discrete Time-delay Systems[OL].[19 November 2014] http://en.paper.edu.cn/en_releasepaper/content/4618285


	6. Distributed Containment Control of Multi-Agent Linear Systems
	WEN Guanghui, HU Guoqiang, ZUO Zhiqiang, CAO Jinde, YU Wenwu
	Information Science and System Science 18 November 2014
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	Abstract:In this paper, the distributed containment control problem is studied for a class of multi-agent systems with linear node dynamics and directed communication topology.A kind of distributedcontrol protocol based only on the relative outputs of neighboringagents is first designed and utilized. Under the assumptions that each dynamical agent is stabilizable and detectable, and for each followerthere exists at least one leader that has a directed path to thatfollower, it is theoretically proved that containment in the closed-loop multi-agent systemcan be guaranteed if the coupling strength between neighboring agents is larger than a threshold value $xi_{0}$, which depends on the eigenvalues of the Laplacian matrix $L$ associated with the communication topology. The convergence rate of containment in multi-agent systems is also discussed. However, the designed protocols fail to achieve containment if some agents can not obtain the exact values of the nonzero eigenvalues of Laplacian matrix $L$. To deal with this challenging case, a favorable self-adaptive containment protocol is further constructed and employed.
	TO cite this article:WEN Guanghui, HU Guoqiang, ZUO Zhiqiang, et al. Distributed Containment Control of Multi-Agent Linear Systems[OL].[18 November 2014] http://en.paper.edu.cn/en_releasepaper/content/4613517


	7. Design of Output Feedback Prediction Controller for A kind of Uncertain Nonlinear Systems
	Baili Su,Yan Yan
	Information Science and System Science 01 November 2014
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	Abstract:This paper presents a model predictive control algorithm based on state observers for a class of constrained uncertain nonlinear system with unavailable state measurements. The main idea is to obtain an output feedback bounded controller with adjustable parameters and robust stability region by state observers and robust control Lyapunov function firstly; In the stable region, compute the adjustable parameters by optimizing the performance indexes to design the robust output feedback predictive controller that satisfying the constraints as well as guaranteeing the robust asymptotic stability of closed-loop system; Out of the stability region, we design a predictive control algorithm on the basis of terminal region constraints and get the robust output feedback predictive controller. At last, the simulation results of a numerical example illustrate the validity of the algorithm.
	TO cite this article:Baili Su,Yan Yan. Design of Output Feedback Prediction Controller for A kind of Uncertain Nonlinear Systems[OL].[ 1 November 2014] http://en.paper.edu.cn/en_releasepaper/content/4616400


	8. Distributed Consensus Strategy for Economic Power Dispatch in A Smart Grid
	YU Wenwu,LI Chaojie,YU Xinghuo,WEN Guanghui,Lv Jinhu
	Information Science and System Science 15 October 2014
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	Abstract:This paper studies economic power dispatch strategyin a smart grid by using the distributed consensus protocol inmulti-agent systems, where there are many generation units workingcooperatively under a local neighboring area to achieve a minimumsolution for the optimization problem of the total cost function.At first, the analysis indicates that the total cost forgenerators in a smart grid can reach its minimal value if theincremental cost for all generation units can achieve consensusand the balance between supply and demand of powers is satisfied.Then, by designing a distributed consensus protocol in multi-agentsystems for the incremental cost with appropriate initialconditions, incremental cost consensus can be reached for all thegeneration units and the balance for the powers can also be kept.Thus, the optimization problem for the cost function of allgeneration units can be solved. Finally, some simulation examplesare performed to verify the analysis in this paper.
	TO cite this article:YU Wenwu,LI Chaojie,YU Xinghuo, et al. Distributed Consensus Strategy for Economic Power Dispatch in A Smart Grid[OL].[15 October 2014] http://en.paper.edu.cn/en_releasepaper/content/4613493


	9. Real-Time Payoff-Maximization for Aggregator in Dynamic Aggregator-PHEVs System
	CHEN Jie,YANG Bo,GUO Zhuoyu,CHEN Cailian,GUAN Xinping
	Information Science and System Science 15 July 2014
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	Abstract:In recent years, more and more plug-in hybrid electric vehicles (PHEVs) have been put to use in smart grid. In this paper, we consider a dynamic aggregator-PHEVs system, where the aggregator convinces the PHEVs to use electricity rather than gas by setting an appropriate charging price dynamically. We propose a payoff-maximizing algorithm for the aggregator to decide not only the charging price but also the electricity amount purchased from real-time power market based on Lyapunov optimization. Furthermore, we transform the power purchase problem into the energy allocation problem among all the PHEVs. The proposed algorithm operates in real time and does not require any prior knowledge of the statistical information of the system. Theoretically, we demonstrate the proposed algorithm can guarantee network stability and achieve a result that is away from the optimum by O(1/V), where V is a control parameter. The effectiveness and robustness of the algorithm is validated through simulation results.
	TO cite this article:CHEN Jie,YANG Bo,GUO Zhuoyu, et al. Real-Time Payoff-Maximization for Aggregator in Dynamic Aggregator-PHEVs System[OL].[15 July 2014] http://en.paper.edu.cn/en_releasepaper/content/4601808


	10. Global adaptive output feedback control of nonlinear time-delaysystems
	LIN Yan, ZHANG Xu
	Information Science and System Science 15 May 2014
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	Abstract:We consider the problem of global output feedbackstabilization for a class of nonlinear time-delay systems. Comparedwith the previous works, the class of nonlinear time-delay systemsis greatly enlarged. Based on a dynamic gain scaling technique, anadaptive output feedback controller independent of the time-delay isexplicitly constructed. By introducing a new scaled Lyapunovfunction and employing the Lyapunov-Krasovskii method, it is provedthat global stabilization of the nonlinear time-delay systems can beachieved by the proposed scheme.
	TO cite this article:LIN Yan, ZHANG Xu. Global adaptive output feedback control of nonlinear time-delaysystems[OL].[15 May 2014] http://en.paper.edu.cn/en_releasepaper/content/4597121

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