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| 1 | Epidemic spreading behavior in local-world evolving networks显示文摘The susceptible-infected-susceptible(SIS)epidemic model is presented which can be used to study the epidemic spreading behavior in the local-world evolving network model.Local-world evolving model displays a transition from the exponential network to the scale-free network with respect to the connectivity distribution.From theoretical analyses and numerical simulations,we find that the epidemic spreading behavior on local-world networks also takes on some kind of transitional behaviors.The transitional behavior is further ver-ified by comparing the spreading behavior of local-world network with that of random and scale-free networks.Some feasible control strategies are also proposed to keep from the epidemic spreading on networks. | Chengyi Xia Zhongxin Liu Zengqiang Chen Shiwen Sun Zhuzhi Yuan | 2008 | Progress in Natural Science:Materials International2008，18，6： | 17 |
| 2 | EVENT-TRIGGERED AVERAGE-CONSENSUS OF MULTI-AGENT SYSTEMS WITH WEIGHTED AND DIRECT TOPOLOGY显示文摘这份报纸与直接、加权的拓扑学调查多代理人系统的平均一致的问题。被触发事件的控制法律被采用以便减少自从代理人可以是在许多真实系统的资源有限,更新的单个控制的频率。事件被触发的分离时间片刻被扳机功能关于某个测量错误决定。一个集中的平均一致的协议与固定相互作用拓扑学,稳定性和哪个也被分析的影响因素为网络首先被建议。为有可变拓扑学的网络的扳机函数的设计也被讨论。然后,结果被扩大到分散的对应物,代理人在要求仅仅他们的邻居的信息。数字例子也是如果表明理论结果的有效性。 | Zhongxin LIU Zengqiang CHEN Zhuzhi YUAN | 2012 | Journal of Systems Science & Complexity2012，25，5： | 15 |
| 3 | Dynamic spreading behavior of homogeneous and heterogeneous networks显示文摘传播在上的 dynsmic 流行病的详细调查同类并且 heteiogeneous 网络被执行。在基本流行模型的分析以后,同质、异构的网络上的 susceptible-infected-susceptible (SIS ) 模型被建立,并且在网络的这二种不同类型的感染的个人的密度的动态进化理论上被分析。它显示对 piopagate 更容易的那异构的网络 sre 因为流行病和领先的传播行为被在起始的爆发的指数的增加支配。感染在同类的上比那在异构的网络上是快得多的大规模模拟显示。它意味着网络拓扑学能在发生在复杂网络上的流行病上有重要效果。根据理论分析和数字模拟介绍的流行爆发 sre 的某抑制 sfrategies。 | XIA Chengyi LIU Zhongxin CHEN Zengqiang YUAN Zhuzhi | 2007 | Progress in Natural Science:Materials International2007，17，3： | 11 |
| 4 | Pinning weighted complex networks with heterogeneous delays by a small number of feedback controllers显示文摘Weighted complex dynamical networks with heterogeneous delays in both continuous-time and discrete-time domains are controlled by applying local feedback injections to a small fraction of network nodes. Some generic stability criteria ensuring delay-independent stability are derived for such controlled networks in terms of linear matrix inequalities (LMIs), which guarantee that by placing a small number of feedback controllers on some nodes the whole network can be pinned to some desired homogenous states. In some particular cases, a single controller can achieve the control objective. It is found that stabilization of such pinned networks is completely determined by the dynamics of the individual uncoupled node, the overall coupling strength, the inner-coupling matrix, and the smallest eigenvalue of the coupling and control matrix. Numerical simulations of a weighted network composing of a 3-dimensional nonlinear system are finally given for illustration and verification. | XIANG LinYing LIU ZhongXin CHEN ZengQiang YUAN ZhuZhi | 2008 | Science in China(Series F)2008，51，5： | 8 |
| 5 | Constrained predictive control based on T-S fuzzy model for nonlinear systems显示文摘A constrained generalized predictive control (GPC) algorithm based on the T-S fuzzy model is presented for the nonlinear system. First, a Takagi-Sugeno (T-S) fuzzy model based on the fuzzy cluster algorithm and the orthogonal least square method is constructed to approach the nonlinear system. Since its consequence is linear, it can divide the nonlinear system into a number of linear or nearly linear subsystems. For this T-S fuzzy model, a GPC algorithm with input constraints is presented. This strategy takes into account all the constraints of the control signal and its increment, and does not require the calculation of the Diophantine equations. So it needs only a small computer memory and the computational speed is high. The simulation results show a good performance for the nonlinear systems. | Su Baili Chen Zengqiang Yuan Zhuzhi | 2007 | Journal of Systems Engineering and Electronics2007，18，1： | 6 |
| 6 | Controlled synchronization of complex network with different kinds of nodes显示文摘In this paper, a new dynamical network model is introduced, in which the nodes of the network are different. It is shown that by the designed controllers, the state of the network can exponentially synchronize onto a homogeneous stationary state. Some criteria are derived and some examples are presented. The numerical simulations coincide with theoretical analysis. | Zhengquan YANG Zhongxin LIU Zengqiang CHEN Zhuzhi YUAN | 2008 | 控制理论与应用(英文版)2008，6，1： | 4 |
| 7 | Multivariable PI Type Generalized Predictive Control显示文摘Tills Paper presents a multivariable generalized predictive controller with proportion and integration structure by modifying the quadratic criterion of the usual MGPC. The control performance has been improved greatly.The effectiveness of the controller is demonstrated by the simulation result. | Chen, Zengqiang Zhao, Tianhang Yuan, Zhuzhi | 1998 | Journal of Systems Engineering and Electronics1998，9，2： | 4 |
| 8 | THE PRINCIPLE OF ROBUSTNESS IN GENERALIZED PREDICTIVE CONTROL显示文摘This paper deeply analyzes the closed-loop nature ofGPCin the fram ework ofinter- nalm odelcontrol(IMC) theory. A new sort ofrelation lies in the feedback structure so that robustreason can be satisfactorily explained. The resultissignificantbecause the previous con- clusions are only applied to open-loop stable plant(orm odel). | Sun Mingwei Chen Zengqiang Yuan Zhuzhi Dept. of Com puterand System Science, NankaiUniv., Tianjin 300071. | 1999 | Applied Mathematics(A Journal of Chinese Universities)1999，14，3： | 3 |
| 9 | Neural Network inverse Adaptive Controller Based on Davidon Least Square显示文摘General neural network inverse adaptive controller has two flaws: the first is the slow convergence speed; the second is the invalidation to the non-minimum phase system. These defects limit the scope in which the neural network inverse adaptive controller is used. We employ Davidon least squares in training the multi-layer feedforward neural network used in approximating the inversemodel of plant to expedite the convergence, and then through constructing the pseudryplant, a neural network inverse adaptive controller is put forward which is still effective to the nonlinear non-minimum phase system. The simulation results show the acidity of this scheme. | Chen, Zengqiang Lu, Zhao Yuan, Zhuzhi | 2000 | Journal of Systems Engineering and Electronics2000，11，1： | 2 |
| 10 | Control for the synchronization of Chen system via a single nonlinear input显示文摘这篇论文经由扇区为陈混乱系统的同步探讨控制非线性的输入。基于单身者的反馈控制,适应控制,快滑动模式和柔韧的控制途径声明反馈控制器被调查。在这些情况中,为同步的足够的条件是获得的经分解。数字模拟验证控制表演。 | Tiegang GAO Zengqiang CHEN Zhuzhi YUAN | 2006 | 控制理论与应用(英文版)2006，4，3： | 2 |
| 11 | An Adaptive Identification and Control SchemeUsing Radial Basis Function Networks显示文摘In this paper, adaptive identification and control of nonlinear dynamical systems are investigated using radial basis function networks (RBF). Firstly, a novel approach to train the RBF is introduced, which employs an adaptive fuzzy generalized learning vector quantization (AFGLVQ) technique and recursive least squares algorithm with variable forgetting factor (VRLS). The AFGLVQ adjusts the centers of the RBF while the VRLS updates the connection weights of the network. The identification algorithm has the properties of rapid convergence and persistent adaptability that make it suitable for real-time control. Secondly, on the basis of the one-step ahead RBF predictor, the control law is optimized iteratively through a numerical stable Davidon’s least squares-based (SDLS) minimization approach. Four nonlinear examples are simulated to demonstrate the effectiveness of the identification and control algorithms. | Chen Zengqiang He Jiangfeng Yuan Zhuzhi (Department of Computer and System Science, Nankai University, Tianjin 300071, P. R. China)(Received July 12, 1998) | 1999 | Journal of Systems Engineering and Electronics1999，10，1： | 2 |
| 12 | A hyperchaos generated from Chen's system显示文摘 | GAO Tiegang CHEN Zenqiang YUAN Zhuzhi | 2006 | International Journal of Mordorn Physics C2006，17，4： | 1 |
| 13 | A single three-wing or four-wing chaotic attractor generated from a three-dimensional smooth quadratic autonomous system显示文摘 | CHEN Zengqiang YANG Yong YUAN Zhuzhi | 2008 | Chaos Solitons and Fractals2008，38，4： | 1 |
| 14 | Sensitivity to noise in bidirectional associative memory (BAM) 显示文摘 | DU Shengzhi CHEN Zengqiang YUAN Zhuzhi | 2005 | IEEE Transactions on Neural Networks2005，16，： | 1 |
| 15 | New chaotic PSO-based neural network predictive control for nonlinear process显示文摘 | SONG Ying CHEN Zengqiang YUAN Zhuzhi | 2007 | IEEE Transactions on Neural Networks2007，18，2： | 1 |
| 16 | Design of TakagiSugeno fuzzy model based nonlinear sliding model controller显示文摘A design method is presented for TakagiSugeno (TS) fuzzy model based nonlinear sliding model controller. First, the closedloop fuzzy system is divided into a set of dominant local linear systems according to operating subregions. In each subregion the fuzzy system consists of nominal linear system and a group of interacting systems. Then the controller composed two parts is designed. One part is designed to control the nominal system, the other is designed to control the interacting systems with sliding mode theory. The proposed controller can improve the robustness and guarantee tracking performance of the fuzzy system. Stability is guaranteed without finding a common positive definite matrix. | Xu gong Chen Zengqiang Yuan Zhuzhi | 2005 | Journal of Systems Engineering and Electronics2005，16，4： | 1 |
| 17 | Global convergence of adaptive predictive controller based on least squares algorithm显示文摘 | ZHANG Xinghui CHEN Zengqiang YUAN Zhuzhi | 2003 | Journal of Systems Engineering and Electronics2003，14，4： | 1 |
| 18 | Relations between structural properties and synchronizability on local world dynamical networks显示文摘在这篇论文,有本地世界的联合配置的联合振荡器的同步上的各种各样的结构的性质的效果被调查。为本地世界网络,学位分发,节点的提高的互联,并且增加的聚类的更大的异质不改进动态系统的 synchronizability,这被发现。相反,在海角中心性之间的最大值的增加看起来为 synchronizability 的减少负责。 | Sun Shiwen Liu Zhongxin Chen Zengqiang Yuan Zhuzhi | 2007 | Progress in Natural Science:Materials International2007，17，8： | 1 |
| 19 | Decentralized formation control of mobile agents: A unified framework显示文摘 | Fei Chen Zengqiang Chen Zhongxin Liu Linying Xiang Zhuzhi Yuan | 2008 | Physica A: Statistical Mechanics and its Applications2008，，19： | 1 |
| 20 | ON THE ROBUSTNESS OF A GENERALIZED PREDICTIVE CONTROLLER显示文摘ONTHEROBUSTNESSOFAGENERALIZEDPREDICTIVECONTROLLERCHENZENGQIANGANDYUANZHUZHIAbstract:Inthispaper,wepresentaquantitativeanalysi... | CHEN ZENGQIANG AND YUAN ZHUZHI | 1995 | Applied Mathematics(A Journal of Chinese Universities)1995，10，4： | 1 |
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