检索结果-内蒙古大学图书馆

IEEE TRANSACTIONS ON NANOBIOSCIENCE 2013年第3期12卷 255-264页

作者： Song, Tao Pan, Linqiang Jiang, Keqin Song, Bosheng Chen, Wei Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Sch Automat Wuhan 430074 Hubei Peoples R China Wuhan Univ Technol Sch Automat Wuhan 430070 Hubei Peoples R China

Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes, where each neuron can have several spiking rules and forgetting rules and neurons work in parallel in the sense that each neuron that can fire should fire at each computation step. In this work, we consider SN P systems with the restrictions: 1) systems are simple (resp. almost simple) in the sense that each neuron has only one rule (resp. except for one neuron);2) at each step the neuron(s) with the maximum number of spikes among the neurons that can spike will fire. These restrictions correspond to that the systems are simple or almost simple and a global view of the whole network makes the systems sequential. The computation power of simple SN P systems and almost simple SN P systems working in the sequential mode induced by maximum spike number is investigated. Specifically, we prove that such systems are Turing universal as both number generating and accepting devices. The results improve the corresponding ones in Theor. Comput. Sci., 410 (2009), 2982-2991.

关键词： Membrane computing normal form sequentiality spiking neural P system universality

来源：评论

学校读者我要写书评

暂无评论

Dynamic behaviors of memristor-based delayed recurrent networks

引用

NEURAL COMPUTING & APPLICATIONS 2013年第3-4期23卷 815-821页

作者： Wen, Shiping Zeng, Zhigang Huang, Tingwen Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Peoples R China Minist China Key Lab Image Proc & Intelligent Control Educ Wuhan 430074 Peoples R China Texas A&M Univ Qatar Doha 5825 Qatar

This paper investigates the problem of the existence and global exponential stability of the periodic solution of memristor-based delayed network. Based on the knowledge of memristor and recurrent neural network, the model of the memristor-based recurrent networks is established. Several sufficient conditions are obtained, which ensure the existence of periodic solutions and global exponential stability of the memristor-based delayed recurrent networks. These results ensure global exponential stability of memristor-based network in the sense of Filippov solutions. And, it is convenient to estimate the exponential convergence rates of this network by the results. An illustrative example is given to show the effectiveness of the theoretical results.

关键词： Memristor Recurrent networks Time delays

来源：评论

学校读者我要写书评

暂无评论

Comparisons of purely topological model, betweenness based model and direct current power flow model to analyze power grid vulnerability

引用

CHAOS 2013年第2期23卷 023114页

作者： Ouyang, Min Huazhong Univ Sci & Technol Dept Automat Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

This paper selects three frequently used power grid models, including a purely topological model (PTM), a betweennness based model (BBM), and a direct current power flow model (DCPFM), to describe three different dynamical processes on a power grid under both single and multiple component failures. Each of the dynamical processes is then characterized by both a topology-based and a flow-based vulnerability metrics to compare the three models with each other from the vulnerability perspective. Taking as an example, the IEEE 300 power grid with line capacity set proportional to a tolerance parameter tp, the results show non-linear phenomenon: under single node failures, there exists a critical value of tp = 1.36, above which the three models all produce identical topology-based vulnerability results and more than 85% nodes have identical flow-based vulnerability from any two models;under multiple node failures that each node fails with an identical failure probability fp, there exists a critical fp = 0.56, above which the three models produce almost identical topology-based vulnerability results at any tp >= 1, but producing identical flow-based vulnerability results only occurs at fp = 1. In addition, the topology-based vulnerability results can provide a good approximation for the flow-based vulnerability under large fp, and the priority of PTM and BBM to better approach the DCPFM for vulnerability analysis mainly depends on the value of fp. Similar results are also found for other failure types, other system operation parameters, and other power grids. (C) 2013 AIP Publishing LLC.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Observer-based H∞ control of discrete time-delay systems with random communication packet losses and multiplicative noises

引用

APPLIED MATHEMATICS AND COMPUTATION 2013年第12期219卷 6484-6493页

作者： Wen, Shiping Zeng, Zhigang Huang, Tingwen Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Peoples R China Educ Minist China Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Texas A&M Univ Qatar Doha 5825 Qatar

This paper investigates the observer-based H-infinity control problem for a class of discrete-time mixed delay systems with random communication packet losses and multiplicative noises, where the mixed delays comprise both discrete and distributed time-varying delays, the random packet losses are described by a Bernoulli distributed white sequence that obeys a conditional probability distribution, and the multiplicative disturbances are in the form of a scalar Gaussian white noise with unit variance. In the presence of mixed delays, random packet losses and multiplicative noises, sufficient conditions for the existence of an observer-based feedback controller are derived, such that the closed-loop control system is asymptotically mean-square stable and preserves a guaranteed H-infinity performance. Then a linear matrix inequality (LMI) approach for designing such an observer-based H-infinity controller is presented. Finally, a numerical example is provided to illustrate the effectiveness of the developed theoretical results. (C) 2012 Elsevier Inc. All rights reserved.

关键词： Observer-based H-infinity control Mixed time delays Random packet losses

来源：评论

学校读者我要写书评

暂无评论

Robust Passivity and Passification for a Class of Singularly Perturbed Nonlinear Systems with Time-Varying Delays and Polytopic Uncertainties via Neural Networks

引用

CIRCUITS SYSTEMS AND SIGNAL processing 2013年第3期32卷 1113-1127页

作者： Wen, Shiping Zeng, Zhigang Huang, Tingwen Bao, Gang Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Peoples R China Minist China Key Lab Image Proc & Intelligent Control Educ Wuhan 430074 Peoples R China Texas A&M Univ Qatar Doha 5825 Qatar

This paper investigates the problem of robust passivity and passification for a class of singularly perturbed nonlinear systems (SPNS) with time-varying delays and polytopic uncertainties via neural networks. By constructing a proper functional and the linear matrix inequalities (LMIs) technique, some novel sufficient conditions are derived to make SPNS passive. The allowable perturbation bound xi* can be determined via certain algebra inequalities, and the proposed controller based on neural network will make SPNS with polytopic uncertainties passive for all xi is an element of (0, xi*). Finally, a numerical example is given to illustrate the theoretical results.

关键词： Passivity and passification SPNS Time-varying delay Neural network

来源：评论

学校读者我要写书评

暂无评论

Observer-based H∞ control of a class of mixed delay systems with random data losses and stochastic nonlinearities

引用

ISA TRANSACTIONS 2013年第2期52卷 207-214页

作者： Wen, Shiping Zeng, Zhigang Huang, Tingwen Bao, Gang Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Peoples R China Educ Minist China Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Texas A&M Univ Qatar Doha 5825 Qatar

This paper investigates the observer-based H. control problem for a class of discrete-time mixed delay systems with random communication packet losses and stochastic nonlinearities. The mixed delays comprise both discrete time-varying and distributed delays, the random data losses are described by a Bernoulli distributed white sequence that obeys a conditional probability distribution, and the stochastic nonlinearities in the form of statistical means cover several well-studied nonlinear functions. In the presence of mixed delays, random packet losses and stochastic nonlinearities, sufficient conditions for the existence of an observer-based feedback controller are derived, such that the closed-loop control system is asymptotically mean-square stable and preserves a guaranteed H-infinity performance. (C) 2012 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： Observer-based H-infinity control Time delay Random packet losses Stochastic nonlinearities

来源：评论

学校读者我要写书评

暂无评论

The trading between virtual mobile operator and wireless service provider in the two-tier Femtocell network

The trading between virtual mobile operator and wireless ser...

引用

8th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2013

作者： Yang, Fan Yang, Bo Guan, Xinping Department of Automation Shanghai Jiao Tong University China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiao Tong University China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Shanghai Jiao Tong University China

ISBN: (纸本)9783642397004

This paper considers the problem that the virtual mobile operator (VMO) buys services from the wireless service provider (WSP) to serve its users. When faced with poor indoor coverage or at the edge of marcocell, the WSP would ask nearby femto base stations (FBSs) to help serve the VMO. We focus on the interesting questions when the WSP prefers to ask help from FBSs and how WSP, VMO and FBSs adjust their strategies to maximize their profits. A two-stage Stackelberg game is built for the situation when the WSP serve the VMO by itself and a four-stage Stackelberg game is considered when the WSP rents FBSs by offering spectrum bands to FBSs. We firstly define the utility functions of VMO, WSP and FBSs to reflect their satisfaction and cost in participating into the game and then give the analysis based on the backward induction method. Meanwhile, the competition among FBSs when the WSP allocates spectrum bands for FBSs' help is formulated as a non-cooperative spectrum competition game (NSCG) and the existence and uniqueness of the Nash equilibrium in NSCG is proved. Simulation results of the two service modes show the WSP can obtain more profits through renting FBSs in poor coverage areas. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Profitability

来源：评论

学校读者我要写书评

暂无评论

Adaptive consensus with a virtual leader of multiple agents governed by locally Lipschitz nonlinearity

引用

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR control 2013年第9期23卷 978-990页

作者： Hu, Yuebing Su, Housheng Lam, James Univ Hong Kong Dept Mech Engn Hong Kong Hong Kong Peoples R China Huazhong Univ Sci & Technol Dept Control Sci & Engn Image Proc & Intelligent Control Key Lab Educ Minist China Wuhan 430074 Peoples R China

This paper is concerned with the second-order consensus problem of multi-agent systems with a virtual leader, where all agents and the virtual leader share the same intrinsic dynamics with a locally Lipschitz condition. It is assumed that only a small fraction of agents in the group are informed about the position and velocity of the virtual leader. A connectivity-preserving adaptive controller is proposed to ensure the consensus of multi-agent systems, wherein no information about the nonlinear dynamics is needed. Moreover, it is proved that the consensus can be reached globally with the proposed control strategy if the degree of the nonlinear dynamics is smaller than some analytical value. Numerical simulations are further provided to illustrate the theoretical results. Copyright (c) 2012 John Wiley & Sons, Ltd.

关键词： adaptive consensus Lipschitz condition multi-agent systems nonlinearity second-order consensus virtual leader

来源：评论

学校读者我要写书评

暂无评论

Robust probabilistic sampling H∞ output tracking control for a class of nonlinear networked systems with multiplicative noises

引用

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 2013年第5期350卷 1093-1111页

In this paper, the problem of robust sampled-data H-infinity output tracking control is investigated for a class of nonlinear networked systems with probabilistic sampling, multiplicative noises and time-varying norm-bounded uncertainties. For the sake of technical simplicity, only two different sampling periods are considered, their occurrence probabilities are given constants and satisfy Bernoulli distribution, and can be extended to the case with multiple stochastic sampling periods. By the way of an input delay, the probabilistic system is transformed into a stochastic continuous time-delay system. A new linear matrix inequality (LMI)-based procedure is proposed for designing state-feedback controllers, which would guarantee that the closed-loop networked system with stochastic sampling tracks the output of a given reference model well in the sense of H-infinity. Conservatism is reduced by taking the probability into account. Both network-induced delays and packet dropouts have been considered. Finally, an illustrative example is given to show the usefulness and effectiveness of the proposed H-infinity output tracking design. (C) 2013 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

关键词： Linear matrix inequalities

来源：评论

学校读者我要写书评

暂无评论

Associative Learning of Integrate-and-Fire Neurons with Memristor-Based Synapses

引用

NEURAL processing LETTERS 2013年第1期38卷 69-80页

A memrsitor is a two-terminal electronic device whose conductance can be precisely modulated by charge or flux through it. In this paper, we present a class of memristor-based neural circuits comprising leaky integrate-and-fire (I & F) neurons and memristor-based learning synapses. Employing these neuron circuits and corresponding SPICE models, the properties of a two neurons network are shown to be similar to biology. During correlated spiking of the pre- and post-synaptic neurons, the strength of the synaptic connection increases. Conversely, it is diminished when the spiking is uncorrelated. This synaptic plasticity and associative learning is essential for performing useful computation and adaptation in large scale artificial neural networks. Finally, future circuit design and consideration are discussed with the memristor-based neural networks.

关键词： Memristor Associative learning Neural network Synaptic weight

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：