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Distributed differential evolution algorithm with adaptive parameters

Kongzhi yu Juece/control and Decision 2014年第4期29卷 701-706页

作者： Zhang, Chun-Mei Chen, Jie Xin, Bin School of Automation Ministry of Education Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China School of Electronic Information Engineering Taiyuan University of Science and Technology Taiyuan 030024 China

An adaptive distributed differential evolution algorithm is proposed based on the change of the individual's fitness value. Firstly, the initial population is divided into several subpopulations. When the migration condition is satisfied, the best individual in each subpopulation will replace the worst individual of its neighbor subpopulations according to the Von Neumann topology. The migration mechanism among subpopulations enables the information to be communicated in the whole population. Meanwhile, the adaptive mechanism of F and CR is presented for assigning different F and CR to each individual according to the individual's fitness. Numerical results show that, the proposed algorithm is beneficial to explore the solution space, which can avoid the premature convergence and search the excellent solutions.

关键词： Optimization

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Second-order time-varying sliding mode control for reentry vehicle

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International Journal of intelligent Computing and Cybernetics 2013年第3期6卷 272-295页

作者： Jie Geng Yongzhi Sheng Xiangdong Liu Key Laboratory of Complex System Intelligent Control and Decision School of AutomationBeijing Institute of TechnologyMinistry of EducationBeijingPeople’s Republic of China

Purpose-The purpose of this paper is to design a global robust and continuous control scheme for the attitude tracking control problem of the reentry vehicle with parameter uncertainties and ***/methodology/approach-First,feedback linearization is applied to the model of reentry vehicle,resulting in three independent uncertain *** a new second-order time-varying sliding function is proposed,based on which a continuous second-order time-varying sliding mode control(SOTVSMC)law is proposed for each *** global robustness and convergence performance of the closed-loop reentry vehicle control system under the proposed control law are ***-Simulation is made for a reentry vehicle through the assumption that there is external disturbance to aerodynamic moment and the aerodynamic parameters as well as the atmospheric density are *** results verify the validity and robustness of the proposed ***/value-The SOTVSMC attitude controller based on feedback linearization is proposed for the reentry *** advantages of the proposed SOTVSMC are ***,the global second order sliding mode is established,which implies that the closed-loop system is global robust against matched parameter uncertainties and disturbances in ***,the chattering problem is significantly alleviated.

关键词： Flight control Nonlinear control Real-time systems Robust control Variable structure control

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Second-Order Time-Varying Sliding Mode control for Uncertain systems

Second-Order Time-Varying Sliding Mode Control for Uncertain...

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第25届中国控制与决策会议

作者： Jie Geng Yongzhi Sheng Xiangdong Liu Bing Liu School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781467355339

A novel second-order time-varying sliding mode control(SOTVSMC) law is proposed for the robust tracking control problem of nonlinear smooth single-input single-output(SISO) system with disturbance. The advantages of the proposed SOTVSMC are twofold. The global second order sliding mode is established, which implies that the closed-loop system is global robust against matched parameter uncertainties and disturbances. Meanwhile, the chattering problem is significantly alleviated. Then the parameter of the sliding mode is obtained by solving an optimal problem. Finally, the effectiveness and robustness of the control strategy is demonstrated by simulation results.

关键词： Sliding Mode control, Nonlinear systems, Global Second Order Sliding Phase, Chattering Alleviation

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Analysis and Testing of Delay in HLA-based Distributed Simulation system

Analysis and Testing of Delay in HLA-based Distributed Simul...

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第25届中国控制与决策会议

作者： Chen Chen Lu Chao School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781467355339

Time is a significant concept in distributed *** the increment of simulation system scale, working efficiency of simulation system will go down very sharply due to the restrictions of time management tactics and time sequence coupling. Therefore, it is necessary to study the characteristics of delay in simulation system to improve its working effeciency. Aiming at HLA-based distributed simulation system, causes of simulation delay is analysed and principles of delay testing is explained. A method which employs synchronization point setting and an effective wall clock time querying approach is put forward. Statistics and analysis of message interaction delay is executed on the software platform of pRTI 1.3 version. The measurement of delay lays an important data foundation for time management algorithms.

关键词： Distributed Simulation system, Delay Testing, High Level Architecture, Synchronization Point.

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The SDRE based Second Order Integral Sliding Mode control for Attitude of Reentry Vehicle

The SDRE based Second Order Integral Sliding Mode Control fo...

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第三十二届中国控制会议

作者： GENG Jie SHENG Yongzhi LIU Xiangdong WANG Liang School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781479900305

In this paper,a state dependent Riccati equation-based second order integral sliding mode control(SSOISMC) algorithrn is proposed for the reentry vehicle with a strong conpling,nonlinearity and ***,the state dependent Riccati equation(SDRE) controller is developed to approach the attitude controller for the nonlinear reentry vehicle without uncertainties. Then the second order integral sliding mode control theory is proposed to combine sliding mode with SDRE,and it is applied to reentry vehicle with parameter variations or external *** achievement of the second order sliding phase is *** the proposed control law,the optimal performance index is achieved and the uncertainties are rejected,furthermore, the chattering is ***,simulation is made through the assumption that aerodynamic parameters and atmospheric density are *** validity and robustness of the proposed strategies are verified by simulation results.

关键词： Flight vehicle control State dependent Riccati equation(SDRE) Second order integral sliding mode

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Artillery position control through auto disturbance rejection controller based on fuzzy control

Artillery position control through auto disturbance rejectio...

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2013 5th International Conference on intelligent Human-Machine systems and Cybernetics, IHMSC 2013

作者： Peng, Ning Bai, Yongqiang Luo, Hao Bai, Junlong Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology School of Automation Beijing China

ISBN: (纸本)9780769550114

Considering the characteristics of manipulation and collimation control in traction artillery control system, complex mathematic model, uncertainty and nonlinearity, ADRC (Active Disturbance Rejection controller) with Fuzzy control strategy as position controller was adopted and solved the difficult to adjust the parameters and weak anti-interference in practical engineering application. Through tests, it was shown that the controller was robust and met with the requirement of campaign system to quickly move the target to the given position with high reliability and high precision. © 2013 IEEE.

关键词： controllers

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Optimization of Coordinate Transformation Matrix for Discrete-Time H∞ Static-Output-Feedback control Problems

Optimization of Coordinate Transformation Matrix for Discret...

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第三十三届中国控制会议

作者： Zhi-Yong Feng Li Xu Ye Li Huijin Fan Xue-Xun Guo Hubei Key Laboratory of Advanced Technology of Automotive Parts Wuhan University of Technology Hubei Collaborative Innovation Center for Automotive Components Technology Department of Electronics and Information Systems Akita Prefectural UniversityYuri-HonjoAkita 015-0055Japan Department of Control Science and Engineering University of Shanghai for Science and Technology Key Laboratory of Image Processing and Intelligent Control School of AutomationHuazhong University of Science and Technology

ISBN: (纸本)9781479947249

The problem of how to select a coordinate transformation matrix to improve the LMI conditions for H∞ staticoutput-feedback(SOF) control of discrete-time systems is a challenging open *** paper applies a newly proposed strategy to solve this *** iterative algorithm is developed to produce controllers with locally optimal closed-loop H∞*** algorithm is also applied to other H∞ SOF control problems,such as decentralized H∞ SOF control and simultaneous H∞ SOF ***,numerical examples are provided to demonstrate the effectiveness and advantages of the proposed method.

关键词： H∞ control,Static output feedback,Decentralized control,Simultaneous control,Linear matrix inequality(LMI)

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Short-term PV generation system direct power prediction model on wavelet neural network and weather type clustering

Short-term PV generation system direct power prediction mode...

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2013 5th International Conference on intelligent Human-Machine systems and Cybernetics, IHMSC 2013

作者： Yang, Ying Dong, Lei School of Automation Beijing Institute of Technology China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China

ISBN: (纸本)9780769550114

With the increase of the capacity of PV generated systems, how to eliminate the problem caused by the randomness of power output for photovoltaic system becomes more significant. Most of the existing photovoltaic prediction is Based on the solar radiation. However, it's difficult to implement in China due to insufficient solar radiation station available and poor forecasting performance. In addition, indirect forecasting cannot consider the factors related with PV system. A novel power forecasting model using historical power is proposed to solve the problems. Furthermore, in order to adapt sudden weather changes, the future weather type was recognized by using self-organizing feature map(SOM). Then, PV power generation in each weather type could be forecasted from its corresponding forecast network and the over fitting issue of single network model could be addressed. Wavelet neural network is combined with wavelet analysis and neural network. It is compatible with the good time-frequency property and good fault tolerant ability of neural network. Wavelet neural network can optimize the forecasting model. The experimental results indicate that the prediction has high precision and can be applied in stable operation of photovoltaic generation system. © 2013 IEEE.

关键词： Solar radiation

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Study on GIS's application in driving in the unstructured environment for UGV

Study on GIS's application in driving in the unstructured en...

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2013 International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2013

作者： Yang, Qiangrong Wang, Meiling School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Intelligent Control and Decision of Complex System Beijing 100081 China

ISBN: (纸本)9783642419072

For UGV, driving in the unstructured environment safely and quickly without human intervention becomes increasingly important. While many scholars have conducted researches in driving in this case, the results seem quite unsatisfied. In this paper, how to use GIS in aiding the UGV to drive in the unstructured environment is studied. First, GIS is used to process the raw data received from the 3D laser scanner to get the high-resolution gradient and elevation grid, which is used to determine the traversability of the environment. Then the relatively low-resolution gradient grid is used as the cost field in the path planning algorithm to generate the optimal path from the start point to the goal point. At last, an algorithm is introduced to get the reference speed limit from the given optimal path according to the geometry features of the path and the gradient grid. Simulation and experiment results are given to show the effectiveness of the algorithms. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Motion planning

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Multi-target Passive Location Based on the Algorithm of TDOA-Camberra

Multi-target Passive Location Based on the Algorithm of TDOA...

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第25届中国控制与决策会议

作者： Xin Xu Wenjie Chen Mingjun Jiang School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education China North Vehicle Research Institute

ISBN: (纸本)9781467355339

An algorithm namely the TDOA-Camberra is proposed for the multi-target passive location in this paper. The algorithm uses the Camberra distance to associate the target data and do the optimal search, then uses the time difference of arrival (TDOA) to locate multiple targets passively once data from the same target is determined. At the same time, as the computing time of associating data using Camberra distance is long, the improved sequential similarity detection algorithm (SSDA) is added to the calculation in order to shorten the time of the data association, thus to increase the speed of the multi-target passive location. The theoretical analysis and simulation experiment proves that the multi-target passive location can be implemented by the proposed algorithm accurately and quickly.

关键词： passive location, data association, Camberra distance, SSDA

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