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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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Time-Varying Sliding Mode Guidance with Impact Angle Constraints Against Nonmaneuvering Targets

Time-Varying Sliding Mode Guidance with Impact Angle Constra...

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第三十二届中国控制会议

作者： Yao Zhao Yongzhi Sheng Xiangdong Liu School of Automation Beijing Institute of Technology Key laboratory for Intelligent Control & Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781479900305

In this paper,a time-varying sliding model control(TVSMC) based guidance law against nonmaneuvering targets is proposed with impact angle *** algorithm is first designed for constant-speed interceptors to attack stationary and constant-velocity targets,and the global robustness of the system is ***,an adaptation strategy,adaptive time-varying sliding model control(ATVSMC),is adopted to deal with unknown but bounded disturbances by adjusting the switching gain *** analysis of the closed loop system is obtained through Lyapunov ***,numerical simulation results are presented to verify the effectiveness and robustness of the proposed guidance law.

关键词： Guidance Impact angle Time-varying sliding model control Robustness Adaptive

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Stability analysis of networked control systems with aperiodic sampling

Stability analysis of networked control systems with aperiod...

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第三十二届中国控制会议

作者： Jian Sun Jie Chen Key Laboratory of Complex Systems Intelligent Control and Decision Beijing Institute of Technology School of Automation Beijing Institute of Technology

ISBN: (纸本)9781479900305

This paper is concerned with stability analysis of networked control systems with aperiodic sampling and time-varying delay. The sampling times are assumed to vary within a known interval. The network-induced delay is assumed to belong to a given interval. The closed-loop system is modeled as a system with two time-delays and normbounded uncertainties coming from variations of sampling intervals. Using common Lyapunov function approach, a sufficient stability condition for the closed-loop system is derived and presented in terms of linear matrix inequality (LMI). A numerical example is given to illustrate the effectiveness of the proposed method.

关键词： Networked control system, Sampled-data system, Aperiodic sampling, Stability

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Necessary and Sufficient Conditions for Solving Leader-Following Problem of Multi-Agent systems with Communication Noises

Necessary and Sufficient Conditions for Solving Leader-Follo...

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第25届中国控制与决策会议

作者： Yunpeng Wang Long Cheng Zeng-Guang Hou Min Tan Huiyang Liu Min Wang State Key Laboratory of Management and Control for Complex Systems (SKLMCCS) Institute of Automation Chinese Academy of Sciences School of Information and Electrical Engineering Shandong Jianzhu University

ISBN: (纸本)9781467355339

The leader-following problem of first-order integral multi-agent systems with communication noises is investigated in this paper. To attenuate the noise's effect, a positive time-varying gain a(t) is employed in the protocol. It is proved that the proposed protocol can solve the mean square leader-following problem if the following conditions hold: 1) the communication topology graph has a spanning tree;2) ∫∞0 a(t)dt = ∞;3) lim t→∞ a(t) = 0. The requirements on a(t) are different from most existing papers, where a(t) is required to satisfy that ∫∞0 a(t) = ∞ and ∫∞0 a2(t) < ∞. It turns out that ∫∞0 a2(t) < ∞ implies lim t→∞ a(t) = 0, if a(t) is uniformly continuous. Therefore this paper relaxes the requirements on a(t) to some extent. In addition, under the mild condition (a(t) is uniformly continuous) these three conditions are necessary as well. Furthermore, if ∫∞0 a2(t)<∞, the employed protocol is proved to be able to solve the almost sure leader-following problem of first-order integral multi-agent system. Finally, a simulation example is provided to verify the effectiveness of the employed protocols.

关键词： Leader-following, Consensus, Multi-agent system, Communication noise

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Object Tracking Algorithm of Adaptive Kernel-Bandwidth for Mean-Shift Based on Optical-flows

Object Tracking Algorithm of Adaptive Kernel-Bandwidth for M...

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第三十二届中国控制会议

作者： Qinlong He Junzheng Wang Jing Li Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology

ISBN: (纸本)9781479900305

To obtain and update the kernel-bandwidth,we present an adaptive bandwidth obtainment algorithm based on object contour extraction from optical-flow *** combination of modified mountain cluster approach and fast scanning window contour extractor guarantees the speed of this algorithm.A novel ellipse detection method based on a modified RANSAC is adopted to reduce the *** results demonstrate that the algorithm select the proper size of tracking kernel-bandwidth with minor extra computational overhead and keep up with the object robustly when the scale changed rapidly.

关键词： object tracking mean shift kernel bandwidth mountain cluster RANSAC

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A multi-objective decomposition-based stochastic particle swarm optimization algorithm and its application to optimal design for linear motor

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Kongzhi Lilun Yu Yingyong/control Theory and Applications 2013年第6期30卷 693-701页

作者： Wang, Guang-Hui Chen, Jie Cai, Tao Li, Peng 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

This article proposes a multi-objective decomposition stochastic particle swarm optimization (MDSPSO) algorithm. In MDSPSO, every particle has a weighted vector constantly. Then, an improved Tchebycheff decomposition method is applied to decompose the multi-objective problem into some single-objective problems. The reference position of every particle is uniformly generated in the zone with the center which is the geometrical center of its current position, the best previous reference position as well as the swarm best reference position. The radius of this zone is the distance from the center to its current position. Then the particle is updated to the new position according to the reference position and its current velocity. The comparisons with the decomposition-based multi-objective particle swarm optimizer (dMOPSO), a multiobjective evolutionary algorithm based on decomposition (MOEA/D), and nondominated sorting genetic algorithm II (NSGA-II) show that the solutions of MDSPSO can be dominated at least with the best diversity. To reduce the computational time by finite element analysis for optimizing the structure parameters of linear motor, artificial neural network is used as the model to evaluate the performance. Finally, MDSPSO is applied to optimize four objectives simultaneously. The practical result is shown that the optimized linear motor has an increased thrust, improved efficiency, reduced fluctuation and manufacturing cost.

关键词： Multiobjective optimization

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A Framework of Finite-model Kalman Filter with Case Study: MVDP-FMKF Algorithm

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Acta Automatica Sinica 2013年第8期39卷 1246-1256页

作者： Bo FENG Hong-Bin MA Meng-Yin FU Shun-Ting WANG School of Automation Beijing Institution of Technology Beijing 100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology Beijing 100081 China

Kalman filtering techniques have been widely used in many applications, however, standard Kalman filters for linear Gaussian systems usually cannot work well or even diverge in the presence of large model uncertainty. In practical applications, it is expensive to have large number of high-cost experiments or even impossible to obtain an exact system model. Motivated by our previous pioneering work on finite-model adaptive control, a framework of finite-model Kalman filtering is introduced in this paper. This framework presumes that large model uncertainty may be restricted by a finite set of known models which can be very different from each other. Moreover, the number of known models in the set can be flexibly chosen so that the uncertain model may always be approximated by one of the known models, in other words, the large model uncertainty is “covered” by the “convex hull” of the known models. Within the presented framework according to the idea of adaptive switching via the minimizing vector distance principle, a simple finite-model Kalman filter, MVDP-FMKF, is mathematically formulated and illustrated by extensive simulations. An experiment of MEMS gyroscope drift has verified the effectiveness of the proposed algorithm, indicating that the mechanism of finite-model Kalman filter is useful and efficient in practical applications of Kalman filters, especially in inertial navigation systems.

关键词： Finite-model Kalman filter minimizing vector distance principle adaptive switching MEMS gyroscope de-noising

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controlling mobile Spykee robot using Emotiv Neuro headset

Controlling mobile Spykee robot using Emotiv Neuro headset

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32nd Chinese control Conference, CCC 2013

作者： Grude, Simon Freeland, Matthew Yang, Chenguang Ma, Hongbin School of Computing and Mathematics University of Plymouth Plymouth PL4 8AA United Kingdom Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology Beijing 100081 China

ISBN: (纸本)9789881563835

This paper investigates controlling the commercialized Spykee mobile robot, using only brain electroencephalography (EEG) signals transmitted by the Emotiv Epoc Neuro Headset. The Spykee robot is equipped with a wireless communication protocol to control it. Both visualization and motor control methods have been carried out and analyzed in order to control the robot with accuracy. All the fourteen channels on the Emotiv headset have been utilized and the pattern recognition has been done by the echo state network (ESN). Four different actions (moving forward/backward and turning left/right) have been achieved to control the robot reaching an arbitrary target on the floor. © 2013 TCCT, CAA.

关键词： Electroencephalography

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Distortion correction method in the high-precision and high-speed CCD measurement system

Distortion correction method in the high-precision and high-...

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Chinese control Conference (CCC)

作者： Jing Li Junzheng Wang Renjian Hao Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology 100081 China

In the high-precision and high-speed measurement system, the distortion of CCD pixes will give a greater margin of error to measurement results. According to the characteristic of noise leading to the image distortion, this article establishes the image transformation model. Data fitting based method is used for correcting image distortion. For the distortion caused by camera installation, the perspective transformation is used to correcting the image. And then the four points calibration method is adopted to calibrating the measurement system. Experiments adopt the high speed area array CCD to gather images with the circular facula in the target area launched by the laser, and calculate the real position of the facula in the target area, adopt the high accurate displacement sensor to give the true displacement of the target which is used to verify the real position of the facula in the target area. The results show that the algorithm can reduce the influence of image distortion, which advances the measurement accuracy efficiently.

关键词： Charge coupled devices Distortion measurement Optical distortion Cameras Measurement uncertainty Calibration Real-time systems

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Differential Evolution Based Receding Horizon controlfor UAV Motion Planning in Dynamic Environments

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机器人 2013年第1期 107-114页

作者： ZHANG Xing BAI YongQiang XIN Bin CHEN Jie School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Decision and Cognitive Sciences Research Centre Manchester Business SchoolUniversity of Manchester

This paper presents online motion planning for UAV(unmanned aerial vehicle) in complex threat field,including both static threats and moving threats,which can be formulated as a dynamic constrained optimal control *** horizon control(RHC) based on differential evolution(DE) algorithm is adopted.A location-predicting model of moving threats is established to assess the value of threat that UAV faces in *** flyable paths can be generated by the control inputs which are optimized by DE under the guidance of the objective *** results demonstrate that the proposed method not only generates smooth and flyable paths,but also enables UAV to avoid threats efficiently and arrive at destination safely.

关键词： unmanned aerial vehicle motion planning receding horizon control differential evolution

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