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Statistical learning makes the hybridization of particle swarm and differential evolution more efficient-A novel hybrid optimizer

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Science in china(Series F) 2009年第7期52卷 1278-1282页

作者： CHEN Jie1,2,XIN Bin1,2,PENG ZhiHong1,2 & PAN Feng1,2 1 School of Automatic control,beijing Institute of Technology,beijing 100081,china 2.key laboratory of complex system intelligent control and decision,ministry of education,beijing 100081,china 1. School of Automatic control Beijing Institute of Technology Beijing 100081 China 2. key laboratory of complex system intelligent control and decision Ministry of Education Beijing 100081 China

This brief paper reports a hybrid algorithm we developed recently to solve the global optimization problems of multimodal functions, by combining the advantages of two powerful population-based metaheuristics differential evolution （DE） and particle swarm optimization （PSO）. In the hybrid denoted by DEPSO, each individual in one generation chooses its evolution method, DE or PSO, in a statistical learning way. The choice depends on the relative success ratio of the two methods in a previous learning period. The proposed DEPSO is compared with its PSO and DE parents, two advanced DE variants one of which is suggested by the originators of DE, two advanced PSO variants one of which is acknowledged as a recent standard by PSO community, and also a previous DEPSO. Benchmark tests demonstrate that the DEPSO is more competent for the global optimization of multimodal functions due to its high optimization quality.

关键词： global optimization statistical learning differential evolution particle swarm optimization hybridization multimodal functions

Timeliness evaluation of task-oriented networked space-based information system

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Journal of systems Engineering and Electronics 2011年第4期22卷 621-627页

作者： Chen Chen 1,2,and Jie Chen 2,3 1.Department of Automation,Tsinghua University,beijing 100084,P.R.china 2.School of Automation,beijing Institute of Technology,beijing 100081,P.R.china 3.complex system intelligent control and decision,ministry of education,beijing 100081,P.R.china Department of Automation Tsinghua University Beijing 100084 P. R. China School of Automation Beijing Institute of Technology Beijing 100081 P. R. China School of Automation Beijing Institute of Technology Beijing 100081 P. R. China complex system intelligent control and decision Ministry of Education Beijing 100081 P. R. China

Task-oriented networked information system is an integrated information system which builds on multi-satellite networking to accomplish one or more tasks. In the background of emer- gency relief for applications, system working flow and response process are analyzed, and a timeliness effectiveness evaluation index system is constructed at multi-task level. The effectiveness is a measurement of promptness of information return. In evalua- tion process, system performance and tasks are associated, then an evaluation model based on efficacy function is established, and different evaluation criteria are selected for different tasks. A distributed simulation system is constructed, and the execution of task is decomposed. The simulation platform provides a comprehensive data source for evaluation. The results are easy to compare with each other, which reflects system time efficiency in different satellites networks and provides actual systems with basis and reference for design and application.

关键词： timeliness efficacy function space-based informationsystem simulation system.

Dynamic image stabilization precision test system based on the Hessian matrix

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Science china(Information Sciences) 2012年第9期55卷 2056-2074页

作者： LI Jing ,WANG JunZheng,WANG ShouKun,MA LiLing & SHEN Wei key laboratory of complex system intelligent control and decision,School of Automation,beijing Institute of Technology,beijing 100081,china 1. key laboratory of complex system intelligent control and decision School of Automation Beijing Institute of Technology Beijing 100081 China

Dynamic image stabilization precision of an optical image-stable device is a key technical ***,a fast dynamic image stabilization precision test system for an optical image-stable device is developed.A large-aperture collimator with a designed cross divisional board is used to simulate the infinity *** image-stable device is installed on the motion simulator with six degrees of freedom which is used to simulate the moving state of the *** CCD camera installed behind the eyepiece lens of the image-stable device acquires images rapidly and in real *** local energy maxima center of the cross light spot can be acquired accurately through the proposed algorithm using the Hessian *** addition,to deal with the CCD non-uniformity,an adaptive non-uniformity correction algorithm based on bi-dimensional empirical mode decomposition is *** actual test results for the proposed method show that the test error of dynamic image stabilization is less than 0.7,and the time for the frame image acquisition and processing is less than 10 ms,which demonstrates the effectiveness of the test system.

关键词： image stabilization precision adaptive non-uniformity correction empirical mode decomposition local energy maxima Hessian matrix

Evolutionary decision-makings for the dynamic weapon-target assignment problem

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Science in china(Series F) 2009年第11期52卷 2006-2018页

作者： CHEN Jie1,2, XIN Bin1,2, PENG ZhiHong1,2, DOU LiHua1,2 & ZHANG Juan1,2 1 School of Automation, beijing Institute of Technology, beijing 100081, china 2.key laboratory of complex system intelligent control and decision, ministry of education, beijing 100081, china School of Automation Beijing Institute of Technology Beijing 100081 China key laboratory of complex system intelligent control and decision Ministry of Education Beijing 100081 China

The dynamic weapon-target assignment （DWTA） problem is an important issue in the field of military command and control. An asset-based DWTA optimization model was proposed with four kinds of constraints considered, including capability constraints, strategy constraints, resource constraints and engagement feasibility constraints. A general ＂virtual＂ representation of decisions was presented to facilitate the generation of feasible decisions. The representation is in essence the permutation of all assignment pairs. A construction procedure converts the permutations into real feasible decisions. In order to solve this problem, three evolutionary decision-making algorithms, including a genetic algorithm and two memetic algorithms, were developed. Experimental results show that the memetic algorithm based on greedy local search can generate obviously better DWTA decisions, especially for large-scale problems, than the genetic algorithm and the memetic algorithm based on steepest local search.

关键词： decision-making dynamic weapon-target assignment (DWTA) military command and control evolutionary computation memetic algorithms constraints handling

Cloud control systems

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IEEE/CAA Journal of Automatica Sinica 2015年第2期2卷 134-142页

作者： Yuanqing Xia School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

The concept of cloud control systems is discussed in this paper, which is an extension of networked control systems (NCSs). With the development of internet of things (IOT), the technology of NCSs has played a key role in IOT. At the same time, cloud computing is developed rapidly, which provides a perfect platform for big data processing, controller design and performance assessment. The research on cloud control systems will give new contribution to the control theory and applications in the near future. © 2014 Chinese Association of Automation.

关键词： Big data Cloud computing Computation theory control systems control theory controllers Data handling Distributed computer systems Embedded systems Internet of things

Consensus of high-order dynamic multi-agent systems with switching topology and time-varying delays

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控制理论与应用（英文版） 2010年第1期8卷 52-60页

作者： Fangcui JIANG,Long WANG,Guangming XIE(Institute of intelligent Engineering,Center for systems and control,College of Engineering,and key laboratory of Machine Perception(ministry of education),Peking University,beijing 100871,china) Institute of intelligent Engineering Center for Systems and Control College of Engineering and Key Laboratory of Machine Perception (Ministry of Education) Peking University Beijing China

This paper studies the consensus problems for a group of agents with switching topology and time-varying communication delays, where the dynamics of agents is modeled as a high-order integrator. A linear distributed consensus protocol is proposed, which only depends on the agent＇s own information and its neighbors＇ partial information. By introducing a decomposition of the state vector and performing a state space transformation, the closed-loop dynamics of the multi-agent system is converted into two decoupled subsystems. Based on the decoupled subsystems, some sufficient conditions for the convergence to consensus are established, which provide the upper bounds on the admissible communication delays. Also, the explicit expression of the consensus state is derived. Moreover, the results on the consensus seeking of the group of high-order agents have been extended to a network of agents with dynamics modeled as a completely controllable linear time-invariant system. It is proved that the convergence to consensus of this network is equivalent to that of the group of high-order agents. Finally, some numerical examples are given to demonstrate the effectiveness of the main results.

关键词： Consensus problems Distributed control Multi-agent systems Switching topology Time-varying delays Lyapunov-Krasovskii approach

Hopping control channel MAC protocol for opportunistic spectrum access networks

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The Journal of china Universities of Posts and Telecommunications 2010年第6期17卷 65-71页

作者： FU Jing-tuan,JI Hong,MAO Xu key laboratory of Universal Wireless Communications,ministry of education,beijing University of Posts and Telecommunications,beijing 100876,china [a] key laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts Telecommunications Beijing 100876 China

Opportunistic spectrum access （OSA） is considered as a promising approach to mitigate spectrum scarcity by allowing unlicensed users to exploit spectrum opportunities in licensed frequency bands. Derived from the existing channel-hopping multiple access （CHMA） protocol,we introduce a hopping control channel medium access control （MAC） protocol in the context of OSA networks. In our proposed protocol,all nodes in the network follow a common channel-hopping sequence; every frequency channel can be used as control channel and data channel. Considering primary users＇ occupancy of the channel,we use a primary user （PU） detection model to calculate the channel availability for unlicensed users＇ access. Then,a discrete Markov chain analytical model is applied to describe the channel states and deduce the system throughput. Through simulation,we present numerical results to demonstrate the throughput performance of our protocol and thus validate our work.

关键词： channel hopping MAC protocol OSA Markov chain

Bandwidth allocation and admission control scheme based on Nash bargaining solution for WiMAX systems

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The Journal of china Universities of Posts and Telecommunications 2010年第2期17卷 53-58页

作者： CAI Dao-jin ,JI Hong,LI Xi key laboratory of Universal Wireless Communications,ministry of education,beijing University of Posts and Telecommunications,beijing 100876,china [a] key laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts Telecommunications Beijing 100876 China

Development of fair and efficient bandwidth allocation and admission control schemes is one of the key issues in the design of IEEE 802.16 broadband wireless access systems in time division multiple access （TDMA） mode. In this article, the problem of bandwidth allocation and admission control is formulated as a Nash bargaining model. The nash bargaining solution （NBS） derived from the cooperative game is adopted to maximize the spectrum utilization. Analysis and simulation results show that there is a unique Pareto optimal bandwidth allocation solution by using NBS among various flows. Furthermore, maximum utility of the system can also be maintained by using the admission control policy with different number of connections and variable channel qualities. The total throughput of the proposed scheme is close to the maximal one, while significantly improving fairness compared to the existing solutions.

关键词： NBS game theory bandwidth allocation admission control IEEE 802.16

Task Allocation for Multi-Robot Cooperative Hunting Behavior Based on Improved Auction Algorithm

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Task Allocation for Multi-Robot Cooperative Hunting Behavior...