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World Congress on intelligent control and Automation (WCICA)

作者： Xiao-yan Lian Juan Zhang Chen Chen Fang Deng Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing China

Compared with the traditional two-dimensional (2D) deployment form, three-dimensional (3D) deployment of sensor network has greater research significance and practical potential to satisfy the detecting needs of targets with complex properties. In this paper, a method for 3D deployment optimization of sensor network based on an improved Particle Swarm Optimization (PSO) algorithm is proposed. Many factors such as coverage scale, detection probability and resource utilization are synthetically considered to optimize the sensor network's overall detection performance. To evaluate the network's performance, four indexes are presented and the 3D deployment space is divided into different height levels. Accordingly, the mathematical model is formulated by weighting the performance indexes and height levels due to their importance degrees. In order to solve the optimization problem, an algorithm called WCPSO is carried out, which has a dynamic inertia weight and adaptable acceleration constants. Verified by the simulation results, the presented 3D deployment optimization method effectively improves the sensor network's detection performance. The method in this paper can provide guidance and technical reference in future application of relevant research.

关键词： Optimization Indexes Mathematical model Acceleration Algorithm design and analysis Resource management Performance analysis

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Teleoperation of humanoid motion using 3G communication network

Teleoperation of humanoid motion using 3G communication netw...

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IEEE International Conference on Robotics and Biomimetics

作者： Qian Xu Qiang Huang Xuechao Chen Awais Yasin Zhangguo Yu Key Laboratory of Intelligent Control and Decision of Complex System School of Mechatronical Engineering Beijing Institute of Technology Beijing China

ISBN: (纸本)9781467321259

A small humanoid robot with a teleoperation system using 3G communication network is present in this paper. Considering the requirement of dynamic environment and hardware limitations of small humanoid, the teleoperation system was designed using 3G communication network, which has a good performance both on the long-distance operation and the communication speed. Then an improved walking planning method is explored on this robot. Most of conventional walking planning methods can not fit to the low computation performance of small humanoid nor the real-time teleoperation requirement. In order to solve this problem, an online walking planning method with has been presented in this paper. There are two primary advantages compared with conventional walking planning methods. First, the new online walking planning can realize walking based on real-time tasks due to its short control period. Secondly, the reduced computation and walking data can fit to the hardware limit of the small humanoid. The effectiveness of the proposed walking planning method was confirmed by experiments.

关键词： Small Humanoid Teleoperation 3G Network Walking Planning remote operation 3G communication walking Humanoid control period Humanoid robots

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Decentralized Valley-fill Charging control of Large-population Plug-in Electric Vehicles

Decentralized Valley-fill Charging Control of Large-populati...

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The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Zhongjing Ma School of Automation Beijing Institute of Technology (BIT) and the Key Laboratory of Complex System Intelligent Control and Decision (BIT) Ministry of Education

Optimal charging control of large-population autonomous plug-in electric vehicles (PEVs) in power grid can be formulated as a class of constrained non-linear timevariant optimization problems. To overcome the computational complexity of this class of optimization problems, the author and his collaborators proposed a game-based decentralized control method such that individual agents update their best charging strategies simultaneously with respect to a common electricity price signal which is determined by the total demand in the grid. Due to the heterogeneity of individual PEVs, the game systems converge to a nearly valley-fill NE strategy with nontrivial deviation costs due to the heterogeneity property of individual PEV charging characteristics. In this paper the author proposed a novel algorithm to implement the optimal decentralized valley fill strategies for the charging problems of the PEV population which is composed of disjoint homogeneous subpopulations. The author introduces a cost which penalizes against the deviation of strategy of individual agent in a subpopulation from the average value of the subpopulation. It can be shown that in case that the update algorithm converges, the system reaches the optimal valley-fill equilibrium strategy where the introduced agent deviation cost vanishes. Simulation examples are used to illustrate the results developed in this paper.

关键词： Decentralized charging control Plug-in electric vehicles (PEVs) Valley-fill (VF) Nash equilibrium (NE)

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Synchronization of Networked Multi-agent system with Delayed Information from Neighbors

Synchronization of Networked Multi-agent System with Delayed...

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The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Lijing Dong Senchun Chai Baihai Zhang School of Automation Beijing Institute of Technology Beijing 100081 Key Laboratory of Intelligent Control and Decision of Complex SystemBeijing 100081

—In this paper, a synchronization of discrete multi-agent systems with random network delays was studied. By employing the graph and matrix theory, a model based predictive control algorithm is proposed to achieve leader-following consensus in a network of agents. Furthermore, a consensus protocol is developed based on this strategy. Numerical simulation examples are provided to illustrate the effectiveness of the theoretical results.

关键词： Multi-agent Synchronization and Time Delay

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Design of networked air defense fire control simulation system based on BOM

Design of networked air defense fire control simulation syst...

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World Congress on intelligent control and Automation (WCICA)

作者： Shi-jun Chen Juan Zhang Chen Chen Beijing Institute of Technology Beijing Beijing CN Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing China

Networked air defense fire control simulation system featured with complicated interactions, varied system structure etc, and is usually faced with some difficulties in its development, such as the low capability of model reuse, the lack of regulations for model development and inflexible modification of federation. To overcome the difficulties, a framework in hierarchy of networked air defense fire control simulation system is constructed according to BOM development standard, and the component method for designing the basic model, compound model and federate is proposed, which effectively improved the efficiency of system development and the capability of model reuse. This method is not only applicable to the design of networked air defense fire control system, but also to the design of other simulation system with polytropic structure.

关键词： Atmospheric modeling Bills of materials Object oriented modeling Fires Analytical models Compounds Computational modeling

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Fuzzy-Neural Networks for a piloted Quality Management system

Fuzzy-Neural Networks for a piloted Quality Management Syste...

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Mediterranean Electrotechnical Conference (MELECON)

作者： Hajer Ben Mahmoud Dammak Raouf Ketata Taieb Ben Romdhane Samir Ben Ahmed National Institute of Applied Science and Technology Tunis Tunisia Research units on Methods and tools for Complex Computer Systems (MOSIC) Tunis Tunisia Research units on Intelligent Control design and Optimization of Complex System (ICOS) Tunis Tunisia

The purpose of this paper is to provide a path for designing a tool for decision support to ensure the effectiveness of Quality Management system (QMS). For this, we propose a Fuzzy-Neural Networks (FNN) approach for improving the efficiency of such system. The aim of this approach is to classify the objectives for a real-world case study which presents a major problem for controlling the quality levels of its production lines. This approach provided a significant improvement when the testing data are various or complex.

关键词： Fuzzy neural networks Quality management Computational modeling Classification algorithms Biological system modeling Unified modeling language

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An Overview of Hierarchical Temporal Memory: A New Neocortex Algorithm

An Overview of Hierarchical Temporal Memory: A New Neocortex...

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2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Xi Chen Wei Wang Wei Li Institute of System engineering Huazhong University of Science & TechnologyImage Processing and Int Candidate for Master of theInstitute of System engineering Huazhong University of Science &Technolog Department of Control Science &Engineering Image Processing and Intelligent Control Key Laboratory o

ISBN: (纸本)9781467315241

The overview presents the development and application of Hierarchical Temporal Memory (HTM).HTM is a new machine learning method which was proposed by Jeff Hawkins in *** is a biologically inspired cognitive method based on the principle of how human brain *** method invites hierarchical structure and proposes a memory-prediction framework, thus making it able to predict what will happen in the near *** overview mainly introduces the developing process of HTM, as well as its principle, characteristics, advantages and applications in vision, image processing and robots movement, some potential applications by using HTM , such as thinking process, are also put forward.

关键词： hierarchical Bayesian network spatial-temporal memory-prediction temporal sequence pattern recognition

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An overview about pinning control of complex networks

An overview about pinning control of complex networks

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2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Xi Chen Lan Zhang Wei Li Institute of System engineering Huazhong University of Science & TechnologyImage Processing and Int Candidate for Master of Systemengineering Huazhong University of Science & TechnologyImageProcessin Department of Control Science &Engineering Image Processing and Intelligent Control Key Laboratory o

ISBN: (纸本)9781467315241

Synchronization and pinning control of complex networks is to regulate the agents' behavior and improve network *** this article, we review some recent developments in pinning *** algorithms and pining strategies in different types of complex networks are presented and *** pinning control is also *** addition, the research extended to discrete-time case is *** some related research, the development in consensus and flocking of multi-agent system are introduced *** last, we give some ideas about pinning control in social networks.

关键词： complex network pinning control adaptive control multi-agent systems

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Recursive filtering for a class of nonlinear systems with missing measurements

Recursive filtering for a class of nonlinear systems with mi...

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2012 UKACC International Conference on control, control 2012

作者： Hu, Jun Wang, Zidong Shen, Bo Cai, Chenxiao Lam, James Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Department of Information Systems and Computing Brunel University London UB8 3PH United Kingdom Institute for Automatic Control and Complex Systems University of Duisburg-Essen D-47057 Duisburg Germany School of Automation Nanjing University of Science and Technology 210094 Nanjing China Department of Mechanical Engineering University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9781467315609

This paper is concerned with the finite-horizon recursive filtering problem for a class of nonlinear time-varying systems with missing measurements. The missing measurements are modeled by a series of mutually independent random variables obeying Bernoulli distributions with possibly different occurrence probabilities. Attention is focused on the design of a recursive filter such that, for the missing measurements, an upper bound for the filtering error covariance is guaranteed and such an upper bound is subsequently minimized by properly designing the filter parameters at each sampling instant. The desired filter parameters are obtained by solving two Riccati-like difference equations that are of a recursive form suitable for online applications. A simulation example is exploited to demonstrate the effectiveness of the proposed filter design scheme. © 2012 IEEE.

关键词： Difference equations

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Three-dimensional multi-constraint route planning of unmanned aerial vehicle low-altitude penetration based on coevolutionary multi-agent genetic algorithm

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Journal of Central South University 2011年第5期18卷 1502-1508页

作者：彭志红吴金平陈杰 School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision of Ministry of Education Beijing Institute of Technology

To address the issue of premature convergence and slow convergence rate in three-dimensional (3D) route planning of unmanned aerial vehicle (UAV) low-altitude penetration,a novel route planning method was *** and foremost,a coevolutionary multi-agent genetic algorithm (CE-MAGA) was formed by introducing coevolutionary mechanism to multi-agent genetic algorithm (MAGA),an efficient global optimization algorithm.A dynamic route representation form was also adopted to improve the flight route ***,an efficient constraint handling method was used to simplify the treatment of multi-constraint and reduce the time-cost of planning *** and corresponding analysis show that the planning results of CE-MAGA have better performance on terrain following,terrain avoidance,threat avoidance (TF/TA2) and lower route costs than other existing *** addition,feasible flight routes can be acquired within 2 s,and the convergence rate of the whole evolutionary process is very fast.

关键词： unmanned aerial vehicle （UAV） low-altitude penetration three-dimensional （3D） route planning coevolutionary multiagent genetic algorithm （CE-MAGA）

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