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Adaptive and impulsive cluster synchronization of a general complex dynamical network

Adaptive and impulsive cluster synchronization of a general ...

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IEEE International Conference on Networking, Sensing and Control

作者： Bingxiong Shi Junan Lu Jinhu Lu Xinghuo Yu College of Mathematics and Statistics and State Key Laboratory of Software Engineering Wuhan University of China Wuhan China School of Electrical and Computer Engineering RMIT University Melbourne Australia Key Laboratory of Systems and Control Institute of Systems Science Chinese Academy and Sciences Beijing China School of Electrical and Computer Engineering RMIT University Melbourne VIC Australia

ISBN: (纸本)9781424464500;9781424464531

Recently, cluster synchronization has attracted an increasing interest in various disciplines, including mathematics, physics, and engineering sciences. This paper further investigates the cluster synchronization of a complex dynamical network by using adaptive and impulsive control techniques, respectively. Based on a complex dynamical network with two different clusters, several adaptive and impulsive cluster synchronization criteria are then proposed. It should be especially pointed out that the dynamics and its dimensions of the individual dynamical systems are different in the two different clusters. Also, some numerical simulations are given to verify the effectiveness of the above theoretical results.

关键词： complex networks Mathematics Numerical simulation Physics Adaptive systems Programmable control Adaptive control Biology History Technological innovation

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Output synchronization of multiple mobile agents

Output synchronization of multiple mobile agents

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IEEE International Conference on Networking, Sensing and Control

作者： Fuxiao Tan Derong Liu Xinping Guan School of Computer and Information Sciences Fuyang Teachers College Fuyang Anhui China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China College of Electrical Engineering Yanshan University슠 Qinhuangdao Hebei China

ISBN: (纸本)9781424464500;9781424464531

In real-life, many practical applications involve agents that are nonlinear and nonholonomic. This paper investigates output synchronization of multiple mobile agents in a plane. The output synchronization of mobile agent's aims are two aspects: making the speed of each agent synchronized and tracking desired trajectories in a group. First, each agent dynamics is described by an affine control system and the communication topology among the agents is represented by a digraph. Using adjacent information and incidence matrix, a decentralized control law is acquired, which is composed of alignment control and cohesion control. Second, the stability of the group is proved by the decentralized control law and the synchronization control objective is realized. Finally, ten mobile agents are simulated to show the effectiveness of the present control law.

关键词： Mobile agents Communication system control Multiagent systems Control systems Robot kinematics Trajectory Mobile communication Distributed control Mobile robots Protocols

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Reports of the AAAI 2010 conference workshops

Reports of the AAAI 2010 conference workshops

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作者： Aha, David W. Boddy, Mark Bulitko, Vadim D'Avila Garcez, Artur S. Doshi, Prashant Edelkamp, Stefan Geib, Christopher Gmytrasiewicz, Piotr Goldman, Robert P. Halevy, Alon Hitzler, Pascal Isbell, Charles Josyula, Darsana Kaelbling, Leslie Pack Kersting, Kristian Kunda, Maithilee Lamb, Luis C. Marthi, Bhaskara McGreggor, Keith Mihalkova, Lilyana Nastase, Vivi Natarajan, Sriraam Provan, Gregory Raja, Anita Ram, Ashwin Riedl, Mark Russell, Stuart Sabharwal, Ashish Smaus, Jan-Georg Sukthankar, Gita Tuyls, Karl Van Der Meyden, Ron Adaptive Systems Section Naval Research Laboratory Washington DC United States Adventium Labs. Minneapolis MN United States Department of Computer Science University of Alberta Canada City University London United Kingdom University of Georgia United States University of Bremen Germany School of Informatics University of Edinburgh United Kingdom University of Illinois Chicago United States Smart Information Flow Technologies LLC Minneapolis MN United States Structured Data Group Google Research United States Department of Computer Science Wright State University Dayton OH United States School of Interactive Computing Georgia Institute of Technology Atlanta GA United States Department of Computer Science Bowie State University United States Department of Computer Science and Engineering Massachusetts Institute of Technology United States Statistical Relational Mining Group Fraunhofer IAIS Germany Department of Computer Science Federal University of Rio Grande Do sul Brazil Willow Garage Inc. CA United States Computer Science Department University of Maryland College Park United States Heidelberg Institute for Theoretical Studies Heidelberg Germany Department of Computer Science University of Wisconsin Madison United States University College Cork Ireland Cork Complex Systems Lab. Ireland Department of Software and Information Systems University of North Carolina Charlotte United States Department of Computer Science and Engineering University of California Berkeley United States Department of Computer Science Cornell University United States Institute for Computational Sustainability United States University of Freiburg Germany School of Electrical Engineering and Computer Science University of Central Florida United States Maastricht University Netherlands University of New South Wales NICTA Australia

The AAAI-10 workshop program was held on July 11-12, 2010, at the Westin Peachtree Plaza in Atlanta, Georgia. The workshop program included 13 workshops covering a wide range of topics in artificial intelligence. There were several presentations on particular formalisms for combining the levels of planning from the perspectives of classical planning, motion planning, POMDPs, search-based planning, and temporal logic-based constraints. Henry Lieberman from Massachusetts Institute of Technology Media laboratory presented work developing a platform for knowledge acquisition and usage from expert users, built upon experience with eliciting information from nonexperts in a collaborative manner. The objective of the AAAI Workshop on Goal-Directed Autonomy (GDA) was to encourage discussion and novel contributions on intelligent agents that can self-select their goals. Jeremy Baxter from QinetiQ focused on user interaction, while Nick Hawes described a goal-directed reasoning framework for controlling a mobile robot.

关键词： Motion planning

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Minimal exposure path algorithms for directional sensor networks

Minimal exposure path algorithms for directional sensor netw...

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2009 IEEE Global Telecommunications Conference, GLOBECOM 2009

作者： Liu, Liang Zhang, Xi Ma, Huadong Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX 77843 United States Beijing Key Lab. of Intelligent Telecomm. Software and Multimedia Beijing University of Posts and Telecomm. Beijing 100876 China

ISBN: (纸本)9781424441488

As a fundamental problem of wireless sensor networks, the minimal exposure path problem corresponding to the sensor network's worst-case coverage plays an important role in the applications for detecting intrusions. However, most existing works about minimal exposure path are based on omnidirectional sensors. In contrast, this paper studies the minimal exposure path problem for directional sensor networks. We first develop a directional sensing model: directional sensitivity model. Then, we formulate the minimal exposure path problem by using two sensing intensity functions: all-sensor intensity function and maximum-sensor intensity function, and generate two weighted grids to convert the minimal exposure path problem into two discrete geometric problems. Based on the above weighted grids, we also develop two approximation algorithms to find the minimal exposure path for the directional sensitive model. We conduct extensive simulations to validate and evaluate our proposed models and algorithms.

关键词： Wireless sensor networks

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Exposure-path prevention in directional sensor networks using sector model based percolation

Exposure-path prevention in directional sensor networks usin...

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2009 IEEE International Conference on Communications, ICC 2009

作者： Liang, Liu Xi, Zhang Huadong, Ma Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX 77843 United States Beijing Key Lab. of Intelligent Telecomm. Software and Multimedia Beijing University of Posts and Telecomm. Beijing 100876 China

ISBN: (纸本)9781424434350

In wireless sensor networks, most existing works on region coverage mainly concentrate on the omnidirectional sensor based full coverage, which ensures that all points in the sensor-deployed region are covered. In contrast, this paper studies the problem of exposure-path prevention for the region coverage in directional sensor networks. Because the exposure paths are prevented as long as no moving objects or phenomena can go through a sensor-deployed region without being detected, exposure-path prevention does not require full coverage, and instead it only needs the partial coverage. Towards this end, we apply the percolation theory to solve the exposure path problem for directional sensor networks. In particular, we map the exposure path problem into a sector based percolation model, and then derive the bounds of critical density where directional sensors are deployed according to a 2-dimensional Poisson process. Also conducted is a set of extensive simulations to validate and evaluate our developed models and schemes. ©2009 IEEE.

关键词： Wireless sensor networks

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Parameter Approximate Dynamic Optimization for PSO systems

Parameter Approximate Dynamic Optimization for PSO Systems

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Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference

作者： Qi Kang Lei Wang Derong Liu Qidi Wu College of Electronics and Information Engineering and the Key Laboratory of Embedded System and Computer-service of MOETongji University Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences

This paper presents a novel swarm approximate dynamic programming method(swarm-ADP) for parameter optimization of PSO systems,from the perspective of optimal *** on the stability results of a simplified PSO and the swarm-ADP algorithm,parameter dynamic optimization and computation is studied in detail for a deterministic PSO system and a stochastic PSO system,***,numerical simulations based on several benchmarks optimization are *** results show the validity of the proposed parameter optimization method for PSO systems.

关键词： swarm Parameter Approximate Dynamic Optimization for PSO systems

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Minimal Exposure Path Algorithms for Directional Sensor Networks

Minimal Exposure Path Algorithms for Directional Sensor Netw...

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GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

作者： Liang Liu Xi Zhang Huadong Ma Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications Beijing China Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

关键词： Wireless sensor networks Intelligent sensors Intrusion detection Telecommunications Mesh generation Approximation algorithms Sensor systems Information systems Laboratories Intelligent networks

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A Coverage-Enhancing Method for 3D Directional Sensor Networks

A Coverage-Enhancing Method for 3D Directional Sensor Networ...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： H. Ma X. Zhang A. Ming Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications Beijing China Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

ISBN: (纸本)9781424435128

In conventional directional sensor networks, coverage control for each sensor is based on a 2D directional sensing model. However, 2D directional sensing model cannot accurately characterize the actual application scene of image/video sensor networks. To remedy this deficiency, we propose a 3D directional sensor coverage-control model with tunable orientations. In order to improve the efficiency of target-detecting, we develop a virtual potential-field based coverage-enhancing scheme to improve the coverage performance. Furthermore, we apply the simulated annealing algorithm for objective optimization. The extensive simulations show the effectiveness of our proposed 3D sensing model and coverage enhancing method.

关键词： Sensor phenomena and characterization Intelligent sensors Image sensors Layout Simulated annealing Sensor systems Communications Society Intelligent networks Telecommunications Multimedia systems

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H∞ Filtering for Neutral Stochastic systems with Time-Varying Delays

H∞ Filtering for Neutral Stochastic Systems with Time-Varyi...

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Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference

作者： Lin Li Yingmin Jia Junping Du Hideki Kokame the Department of Systems and Control Beihang University (BUAA) the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications the College of Engineering Osaka Prefecture University

This paper is devoted to the problem of H filtering for a class of neutral stochastic systems with both discrete and distributed time-varying *** objective is to design a full order filter such that the resulting filtering error system is stochastically asymptotically stable with a prescribed H∞performance *** on the stability theory of stochastic systems,a delay-dependent and rate-dependent sufficient condition for the existence of filter is obtained in terms of linear matrix inequalities（LMIs）.The corresponding filter design method is also proposed,while the explicit expression for the desired filter is given.A numerical example is finally included to illustrate the effectiveness of the proposed method.

关键词： Filtering for Neutral Stochastic systems with Time-Varying Delays filter

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Localization-oriented coverage based on Bayesian estimation in camera sensor networks

Localization-oriented coverage based on Bayesian estimation ...

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9th IEEE International Symposium on Wireless, Mobile and Multimedia Networks, WoWMoM 2008

作者： Liu, Liang Zhang, Xi Huadong, Ma. Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX 77843 United States Beijing Key Lab. of Intelligent Telecomm Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781424421008

Target tracking and localization are important applications in camera sensor networks. Although coverage is a very important research topic in wireless sensor networks, and the coverage problem for target detection has been intensively studied, few considers the coverage problem from the perspective of target localization. In this paper, we investigate the coverage problem from the perspective of target localization for camera sensor networks. We first propose a novel localization-oriented sensing model based on the perspective projection of camera. Then, we propose a new notion of Localization-oriented coverage (L-coverage for short). We assume that all camera sensors make the measurements independent of other in the field, and these camera sensors can cooperate to make an accurate estimation for the location of the target. In addition, the relationships among L-coverage, 2-coverage, and the density of camera sensors are also discussed in this paper. The obtained results show that our model can be effectively deployed in many practical scenarios. © 2008 IEEE.

关键词： Target tracking

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