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第26届中国控制与决策会议

作者： Jun Liu Hongbin Ma Tianyun Shi Ping Li School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology Institute of Computing Technologies Chinese Academy of Railway Sciences

ISBN: (纸本)9781479937097

This paper mainly provides and develops a new continuous-discrete PSO algorithm for handling with the optimal formation problem in the three dimensional space. For one class of formation problem with the particular constraints, it is shown that the center of the desired shape is determined and equal to the center of the initial shape by utilizing the Lagrangian method. From the perspective of efficiency, the main task of the continuous-discrete PSO algorithm, short for CDPSO, is to search for some key parameters and to minimize the distance of all robots from the initial shape to the desired shape. To demonstrate the effectiveness of the new CDPSO algorithm, numerical results chiefly concentrate on the optimal helicopters formation from the initial shape to the desired shape in the three dimensional space and the typical shape conversion from the two-dimensional space to the three-dimensional space.

关键词： Optimal formation Robots Lagrangian method Continuous-Discrete PSO algorithm

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Maximum likelihood ratio detection of abrupt state change for MIMO linear systems based on frequency domain data

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International Journal of Robust and Nonlinear control 2013年第8期23卷 858-877页

作者： Xia, Yuanqing Liu, Bo School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China

Summary This paper is devoted to the detection of abrupt changes for multiple-input, multiple-output (MIMO) linear systems based on frequency domain data. The real discrete-time Fourier transform is used to map the measured inputs and outputs from the time domain to the frequency domain. Under the hypothesis that the state change occurrence time is k, the system is split up into two systems at the time instant k. One of them describes the frequency dynamics before the hypothetical state change occurs, whereas the other describes the frequency dynamics after the hypothetical occurrence. Thus, the latent state change is modeled as an initial state disturbance to be estimated on the basis of frequency domain samples. Furthermore, the occurrence time is estimated by maximizing a likelihood ratio function. Finally, a numerical example is presented to show the performance. © 2012 John Wiley & Sons, Ltd.

关键词： Frequency domain analysis

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Performance analysis of networked predictive control systems with data dropout

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Optimal control Applications and Methods 2013年第6期34卷 742-756页

作者： Xia, Yuanqing Xie, Wen Zhu, Zheng Wang, Ge Wang, Xiaoyun School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China

This paper is concerned with the design of networked control systems with random network data dropout. It presents a new control scheme, which is termed networked predictive control. This scheme mainly consists of the control prediction generator and network data dropout compensator. Besides, the control prediction generator provides a set of future control predictions to make the closed-loop system achieve the desired control performance, and the network data dropout compensator removes the effects of the network transmission data dropout. Simulation results are presented to illustrate the effectiveness of the control strategy via comparing with other three existing control schemes. Copyright © 2012 John Wiley & Sons, Ltd. Copyright © 2012 John Wiley & Sons, Ltd.

关键词： Networked control systems

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A two-stage fuzzy budget allocation model in search auctions

A two-stage fuzzy budget allocation model in search auctions

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Rui Qin Yong Yuan Juanjuan Li The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479960590

Budget optimization is an important issue faced by advertisers in search auctions, and has significant impact on the design of various advertising strategies. Given a limited budget on a search market during a certain period, an advertiser has to distribute her budget to a series of sequential temporal slots (i.e., days, weeks, or months), during which advertisers must avoid the budget being used up quickly, so as to keep the budget for potential clicks with better performance in the future. Considering the optimal budgets over these temporal slots as fuzzy variables, we establish a two-stage fuzzy budget allocation model, and use particle swarm optimization (PSO) algorithm to solve it in case when these optimal budgets are characterized by discrete fuzzy variables. We also conduct experiments to validate our model and algorithm. The experimental results show that our model can outperform other five budget allocation strategies in terms of reducing the revenue loss of the advertiser.

关键词： Artificial intelligence

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A Mobility Based Clustering Algorithm in MANETs Utilizing Learning Automata

A Mobility Based Clustering Algorithm in MANETs Utilizing Le...

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第三十二届中国控制会议

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

ISBN: (纸本)9781479900305

There being ample research in cluster-based Media Access control(MAC) protocols for Mobile Ad Hoc Networks (MANETs) recently makes it necessary having a stable clustering algorithm developed for *** in MANETs often have highly mobility and sometimes present the characteristic of group *** the innovation perspective,we proposed a clustering algorithm by employing Learning Automata(LA) in a distributed manner considering nodes distance and nodes mobility to produce stable *** utilizing LA nodes can make intelligent and adaptive decisions based on the local information collected in the past *** to another mobility based clustering algorithm,simulation results present us the superior performance of the proposed algorithm.

关键词： Ad Hoc clustering mobility Learning Automata

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SDRE based Adaptive Optimal Sliding Mode control for Re-entry Vehicle

SDRE based Adaptive Optimal Sliding Mode Control for Re-entr...

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第三十二届中国控制会议

作者： WANG Liang SHENG Yongzhi LIU Xiangdong School of Automation Beijing Institute of Technology Key laboratory for Intelligent Control & Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781479900305

This paper considers the robust attitude control problem of re-entry vehicle in the presence of the parametric uncertainties and external *** on SDRE method,an optimal sliding surface is first obtained through the minimization of a selected performance index ***,an adaptive sliding mode controller is designed to guarantee the reachability condition of the related optimal sliding *** switching gains are obtained on-line through an adaptation scheme,which eliminates the requirement of a priori knowledge of the upper bound on the lumped *** effectiveness of the proposed strategy is verified by both theoretical analysis and simulation results.

关键词： Re-entry vehicle Attitude control SDRE Adaptive optimal sliding mode control

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A New Method Based on Polytopic Linear Inclusion for Nonlinear filter with Non-Gaussian Noise

A New Method Based on Polytopic Linear Inclusion for Nonline...

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第25届中国控制与决策会议

作者： Bing Liu Zhen Chen Xiangdong Liu Fan Yang School of Automation Beijing Institute of Technology Key Laboratory for Intelligent Control & Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781467355322

This paper presents a new method based on the polytopic linear differential inclusion and the robust mixed H2/∞ filtering for the design of the nonlinear filter with non-Gaussian noises. The main goal is to solve the problems of the complexity and large calculation number in the general nonlinear filter and the filtering design problem for systems with the non-Gaussian noises. The noises considered in the paper involve two different kinds of noises: white noises and energy bounded noises. Differing from the linearization in most nonlinear filters, the estimation error system for the nonlinear system is represented by an uncertain polytopic linear model, based on which, the rectification equations for the predicted errors are designed following the robust mixed H2/∞ filtering. The state estimates for the nonlinear system are given through updating the predictions by the rectified quantities, where, the state predicted quantities of the nonlinear system are gained by the prediction equation of the EKF. The evident advantage of the new filter is the filter coefficients of the rectification equation are constant, without the need to evaluate the Jacobian matrixes. As a result, the calculation number for the new filter is decreased much and the real-time performance of the new filter is much better than the EKF, though the accuracy is a little decline. Its effectiveness is demonstrated by using an example and the statistics result of the calculation number for the filters in the example.

关键词： nonlinear filter polytopic linear inclusion non-Gaussian noise

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Global MPPT for PV systems under partially shaded conditions based on voltage band

Global MPPT for PV systems under partially shaded conditions...

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Chinese control Conference (CCC)

作者： Fan Xinyu Fang Deng Fengmei Li Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing P. R. China School of Automation Beijing Institute of Technology Beijing P. R. China Beijing Institute of Technology Beijing Beijing CN

This paper presents a novel maximum power point (MPP) tracking (MPPT) method to increase photovoltaic (PV) system performance during partially shaded conditions (PSCs). The method is based on voltage scanning method. Voltage band method and restricted voltage scanning method is used to increase the scanning speed. A method is proposed to determine whether partial shading occurs. The main advantage of the proposed method is the ability to search the global peak fast. Simulation results shows the good performance of proposed method.

关键词： Maximum power point trackers Photovoltaic systems Arrays Solar energy Mathematical model Equations

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Lateral control of Autonomous Vehicles Based on Fuzzy Logic

Lateral Control of Autonomous Vehicles Based on Fuzzy Logic

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第25届中国控制与决策会议

作者： Xinyu Wang Mengyin Fu Yi Yang Hongbin Ma School of Automation Beijing Institution of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology

ISBN: (纸本)9781467355322

Autonomous vehicles have attracted considerable attention in the research community and industry due to their potential benefits to unmanned driving and assisted driving. This paper addresses the problem of designing lateral control law and the strategy of determining the giving speed for autonomous vehicles. An improved method of calculating lateral offset and angle error based on multiple look-ahead distances is proposed to reduce the impact of noise in reference path data on the lateral control system. Multiple fuzzy inference engines are used to design the steering controller and determine the given driving speed including forward and backward to deal with both simple and complex reference paths. Satisfactory simulation and experimental results have been obtained for different reference paths including a path with U-turn task in which backward driving is needed.

关键词： Autonomous Vehicle, Lateral control, Multiple Look-ahead Distances, Given Driving Speed, Fuzzy Logic

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SDRE based Optimal Time-Varying Sliding Mode control for Re-entry Vehicle

SDRE based Optimal Time-Varying Sliding Mode Control for Re-...

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第25届中国控制与决策会议

作者： Liang Wang Yongzhi Sheng Xiangdong Liu Jie Geng School of Automation Beijing Institute of Technology Key laboratory for Intelligent Control & Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781467355339

An optimal time-varying sliding mode controller based on SDRE approach is proposed in this paper for re-entry vehicle attitude control in the presence of parametric uncertainties and external disturbances. Firstly, an optimal time-varying sliding surface is obtained through the minimization of a given performance index function and the philosophy of time-varying sliding mode control. Subsequently, a discontinuous control law is designed for guaranteeing the existence of the sliding mode throughout the entire response of the system. Therefore, the global robustness can be ensured. Simulation example is finally given to illustrate the effectiveness of the proposed controller.

关键词： Re-entry vehicle Attitude control SDRE Optimal time-varying sliding mode control

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