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H-infinity deconvolution filtering:a Krein space approach in state-space setting

控制理论与应用（英文版） 2009年第2期7卷 185-191页

作者： Xiao LU Huanshui ZHANG Wei WANG Jie YAN Research Center of Information and Control Dalian University of Technology Dalian Liaoning 116024 China Key Laboratory for Robot ＆ Intelligent Technology of Shandong Province Shandong University of Science and Technology Qingdao Shandong 266510 Chin School of Control Science and Engineering Shandong University Jinan Shandong 250001 China

This note is concerned with the H-infinity deconvolution filtering problem for linear time-varying discretetime systems described by state space models, The H-infinity deconvolution filter is derived by proposing a new approach in Krein space. With the new approach, it is clearly shown that the central deconvolution filter in an H-infinity setting is the same as the one in an H2 setting associated with one constructed stochastic state-space model. This insight allows us to calculate the complicated H-infinity deconvolution filter in an intuitive and simple way. The deconvolution filter is calculated by performing Riccati equation with the same order as that of the original system.

关键词： Deconvolution H-infinity Krein space Riccati equations

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Research and realization of a network fault locating algorithm

Research and realization of a network fault locating algorit...

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2009 2nd Asia-Pacific Conference on Computational Intelligence and Industrial Applications, PACIIA 2009

作者： Guo, Wei Chen, Qing Hubei Province Key Laboratory of Intelligent Robot Wuhan Institute of Technology WuhanHubei430073 China School of Computer Science and Engineering Wuhan Institute of Technology Wuh anHubei430073 China

ISBN: (纸本)9781424446070

In complex IP networks, faults usually have various uncertain causes. Therefore, it is essential for the fault locating system to realize accurate and quick fault locating. This paper puts forward a new symptom-fault map as the fault locating method for the fault propagation model-a fault locating method based on the Bayesian network, and a fault locating system is designed based on this method. This system, capable of sim ultaneously utilizing the characterization network and symptom information on whether the service application is normal or abnormal, has good resistance to noise, and can not only locate usability faults at low layers of the protocol stack, but also well locate service application faults at upper layers of the protocol stack, capable of accurately and quickly locating faults in a large IP network. ©2009 IEEE.

关键词： Bayesian networks

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The research of clustering protocol based on chain routing in WSNs

The research of clustering protocol based on chain routing i...

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2009 2nd Asia-Pacific Conference on Computational Intelligence and Industrial Applications, PACIIA 2009

作者： Zheng, Gengsheng Liu, Xiaohua Hu, Xingming Zhang, Weidong Hubei Province Key Laboratory of Intelligent Robot School of Computer Science and Engineering Wuhan Institute of Technology Wuhan 430073 China Xi'an Communications Institute Xi'an 710106 China

ISBN: (纸本)9781424446070

In WSNs, energy efficiency and low latency are considered as two key issues in designing routing protocol. This paper proposes two schemes to combine clustering strategy with chain routing algorithm in order to satisfy both energy and delay constraints in WSNs. The first scheme makes use of clustering strategy, direct transm ission inside cluster, and chain routing among cluster-heads. The second scheme makes use of clustering strategy, chain routing inside cluster, and chain routing among chain-leaders. Based on two schemes respectively, two protocols are introduced in detail, among which one is Link-based Stable Election Protocol (L-SEP) and the other is Chain Routing Based on Coordinates-oriented Clustering Strategy (CRBCC). Simulation results show that two routing protocols perform better than PEGASIS using Energy*Delay metrics. ©2009 IEEE.

关键词： Chains

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A hybrid neural network and freight volumes application

A hybrid neural network and freight volumes application

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2009 2nd Asia-Pacific Conference on Computational Intelligence and Industrial Applications, PACIIA 2009

作者： Chen, Qing Liu, Zhifeng Wei, Zhenhua Hubei Province Key Laboratory of Intelligent Robot Wuhan Institute of Technology School of Computer Science and Engineering Wuhan China Faculty of Resources China University of Geosciences Wuhan China

ISBN: (纸本)9781424446070

Since the BP neural network algorithm has some unavoidable disadvantages, such as slowly converging speed and easily running into local minimum, the genetic algorithm and simulated annealing algorithm with the overall search capability have been put forward to optimize authority value and threshold value of BP nerve network. In this paper, a new neural network model which is optimized by genetic algorithm and simulated annealing algorithm has been established and applied into the freight volumes forecast. The result shows that the optimized neural network has significant advantages inspect of fast convergence speed, good generalization ability and not easy to yield minimal local results. In generally, the optimized neural network exhibits good representation and strong prediction ability, and is a helpful tool in the future freight volumes prediction. ©2009 IEEE.

关键词： Simulated annealing

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A clustering protocol based on the probability fading strategy in WSNs

A clustering protocol based on the probability fading strate...

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2009 International Conference on Information Engineering and Computer Science, ICIECS 2009

作者： Zheng, Gengsheng Hu, Zhengbing Hubei Province Key Laboratory of Intelligent Robot School of Computer Science and Engineering Wuhan Institute of Technology Wuhan 430073 China Department of Information Technology Huazhong Normal University Wuhan 430079 China

ISBN: (纸本)9781424449941

In WSNs, energy efficiency are considered as the key issues in designing routing protocol. This paper proposes a clustering protocol F-LEACH based on the probability fading strategy. It makes further improvement over LEACH, which gives a better performance on energy consumption and system lifetime. In F-LEACH, nodes are preassigned different clusterhead probability values for cluster-head election in terms of their corresponding distances to the base station (BS). BS can carry out the assignment task. Nodes far from BS get little probability while nodes near BS get great probability. Then nodes elect cluster-heads using their different probability in a self-organizing manner. As a result, less cluster-heads appear in the area far from BS while the total number of cluster-heads is still keep optimal. This help saving the energy consumption by reducing long distance transmission from distant cluster-heads to BS. Simulation results show that F-LEACH performs better than LEACH in terms of energy consumption and system lifetime. ©2009 IEEE.

关键词： Probability

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Automatic face replacement in photographs based on Active Shape Models

Automatic face replacement in photographs based on Active Sh...

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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA

作者： Feng Min Tongwei Lu Yanduo Zhang Hubei Key Laboratory of Intelligent Robot Wuhan Institute of Technology China

In this paper, we present an automatic face replacement approach in photographs based on Active Shape Models (ASM). Our replacement algorithm has three main modules: face alignment, face morph, and seamless blending. First, given an input and target image, we automatically implement face alignment using ASM. Second, we fit a morphable 2D model to the input face, and warp its shape to match the target face shape. Last, we adjust the lighting and color of the target face image to match those of the input face image, and seamlessly blend the target face image into the input image. Our approach is 2D model-based, fully automatic, and generates natural results. The improved results demonstrate the effectiveness of our approach.

关键词： Active shape model Libraries Computational intelligence Computer industry Laboratories Service robots intelligent robots robotics and automation Motion pictures Image processing

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intelligent referee system in robot-Soccer Games based on conditional event algebra

Intelligent referee system in Robot-Soccer Games based on co...

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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA

作者： Yanduo Zhang Li Peng Feng Min Deng Chen Hubei Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan China

In robot-Soccer games, the intelligent referee system which is used to replace the human referee can perfectly simulate the thinking of human being. This paper presents an intelligent referee system, where we employ the conditional event algebra theory to make intelligent decision. In our system, we first estimate the single purpose of robots and overall purpose by searching the maximal probability of scheduled rules. Then we estimate the overall situation by calculating the favorable value according to the position and direction of ball, the home robots and the opponent robots. Combining the single and overall purpose with the field situation, we give the final results. In the experiments, the intelligent referee system based on conditional event algebra outputs satisfactory results.

关键词： intelligent robots intelligent systems Algebra

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Chaos of a class of Hopfield neural networks

Chaos of a class of Hopfield neural networks

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2009 2nd Asia-Pacific Conference on Computational Intelligence and Industrial Applications, PACIIA 2009

作者： Huang, Wenzhi Huang, Yan Huabei Province Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan 430073 China School of Computer Science and Engineering Wuhan Institute of Technology Wuhan 430073 China Department of Mathematics Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424446070

Chaos of a new class of Hopfield neural networks is investigated. Numerical simulations show that the simple Hopfield neural networks can display chaotic attractors and limit cycles for different parameters. By virtue of horseshoes theory in dynamical systems, the rigorous computer-assisted verifications for chaotic behavior of the system for certain parameters is givern, and also the quantitative descriptions of the complexity of these systems. ©2009 IEEE.

关键词： Topology

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An integer-coded chaotic particle swarm optimization for traveling salesman problem

An integer-coded chaotic particle swarm optimization for tra...

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12th FIRA RoboWorld Congress on Progress in robotics 2009

作者： Yue, Chen Yan-Duo, Zhang Jing, Lu Hui, Tian Hubei Key Lab. of Intelligent Robot School of Computer Science and Engineering Wuhan Institute of Technology Wuhan 430073 China Wuhan National Laboratory for Optoelectronics School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430073 China

ISBN: (纸本)3642039855

Traveling Salesman Problem (TSP) is one of NP-hard combinatorial optimization problems, which will experience "combination explosion" when the problem goes beyond a certain size. Therefore, it has been a hot topic to search an effective solving method. The general mathematical model of TSP is discussed, and its permutation and combination based model is presented. Based on these, Integer-coded Chaotic Particle Swarm Optimization for solving TSP is proposed. Where, particle is encoded with integer;chaotic sequence is used to guide global search;and particle varies its positions via "flying". With a typical 20-citys TSP as instance, the simulation experiment of comparing ICPSO with GA is carried out. Experimental results demonstrate that ICPSO is simple but effective, and better than GA at performance. © 2009 Springer-Verlag.

关键词： Traveling salesman problem

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Research on key technologies of knowledge-based engineering decision support system for circular economy

Research on key technologies of knowledge-based engineering ...

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2009 2nd Asia-Pacific Conference on Computational Intelligence and Industrial Applications, PACIIA 2009

作者： Li, Weibo Shen, Wei Chen, Weiya Hubei Province Key Laboratory of Intelligent Robot Wuhan Hubei China School of Computer Science and Engineering WuHan Institute of Technology Wuhan Hubei China School of Environment and Civil Engineering WuHan Institute of Technology Wuhan Hubei China

ISBN: (纸本)9781424446070

This paper combines with the characteristic of knowledge-based engineering decision problem for circular economy, analyses knowledge representation, rule representation, reasoning mechanism and knowledge base structure of multiobjective attribute decision problems. It proposes a software architecture of knowledge-based engineering decision support system, which lays the foundation for the realization of the dynamic monitoring of the basic conditions of regional sustainable development and accurately reflecting on the relationship of the various clements and the evolution of the process. ©2009 IEEE.

关键词： Decision support systems

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