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Chinese Automation Congress (CAC)

作者： Mingfang Du Junzheng Wang Jing Li Haiqing Cao Guangtao Cui Jianjun Fang Ji Lv Jiantao Pu Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China Automation School Beijing Union University Beijing China

The local invariant feature extraction algorithm SRUF (Speeded Up Robust Features) is introduced firstly. Then the new method of finding low level visual saliency feature based on SURF is deduced. The new method pay attention to Hessian matrix threshold and extract image features through changing the Hessian threshold. The number of saliency feature points change with the change of Hessian threshold. The visual saliency feature points will become sparser when Hessian threshold becomes larger. When some certain extreme thresholds which are defined as Hessian threshold Nodes are reached, the retained feature points are remarkable discriminative and stable feature points which make up the best sparse saliency features set. The feature extraction, matching and object recognition experiments of robot vision are finished to verify the new method. Experiment results show that the method is very effective.

关键词： Feature extraction Visualization Robots Robustness Heuristic algorithms Object recognition Educational institutions

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Robot robust object recognition based on fast SURF feature matching

Robot robust object recognition based on fast SURF feature m...

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Chinese Automation Congress (CAC)

作者： Mingfang Du Junzheng Wang Jing Li Haiqing Cao Guangtao Cui Jianjun Fang Ji Lv Xusheng Chen Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China Automation School Beijing Union University Beijing China

The local invariant features SURF (Speeded Up Robust Features) is introduced into the robot visual recognition field to solve scale changes, rotation, perspective changes, changes in illumination and other problems. A Speeded up SURF (SSURF) algorithm is proposed to meet the needs of robot visual identification. In SSURF algorithms, the main direction determination step of SURF algorithm is modified which make the search scope of the main direction becomes {-α, +α} (0 ≤ α ≤ 30°) from the original scope 360 According to compressed sensing ideas and interest points distribution histogram, the main scale search space is selected to improve the interest points searching step of SURF algorithm, so the interest points searching time-consuming is reduced. Matching the sample object and the scene using SSURF descriptor, and positioning the target position in the scene and giving ROI(region of interest). Experimental results in the autonomous mobile robot platform show that the proposed method significantly improves the speed of the robot to identify the target object, and proved robust to the scale changes, rotation, perspective changes, changes in illumination.

关键词： Feature extraction Robots Object recognition Robustness Vectors Image recognition Visualization

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Space alignment of camera and Millimeter Wave(MMW) radar

Space alignment of camera and Millimeter Wave(MMW) radar

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Chinese control Conference (CCC)

作者： Lu Jin Meng Yin Fu Yi Yang Hao Zhu Key Laboratory of Intelligent Control and Decision of Complex Systems of School of Automation Beijing Institute of Technology 100081 China

The information fusion of vision sensor and Millimeter Wave(MMW) radar can enhance the adaptability of the Unmanned Ground Vehicle(UGV) to the complex environment. Space alignment is the basic step of information fusion. Based on the alignment problems camera and MMW radar has existed, firstly, according to the max velocity of UGV and the different attention on the close and far object, the calibration distance is determined and divided; then, a space alignment method is presented through the corresponding space point sets in image pixel coordinate of camera and polar coordinate of MMW radar. the results are verified through the experiment and the error is also analyzed.

关键词： Spaceborne radar Millimeter wave radar Radar imaging Cameras Electronic mail

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Distributed Flocking of Second-order Multi-agent systems with Global Connectivity Maintenance

Distributed Flocking of Second-order Multi-agent Systems wit...

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American control Conference

作者： Yutian Mao Lihua Dou Hao Fang Jie Chen Tao Cai School of Automation and Key Laboratory of Complex System Intelligent Control and Decision (Ministry of Education) Beijing Institute of Technology Beijing 100081 P.R.China

ISBN: (纸本)9781479901777

This paper investigates the problem of connectivity-preserving flocking of multiple autonomous agents with second-order dynamics. First, the inverse power iteration algorithm is formulated in a completely distributed manner to estimate the algebraic connectivity, i.e., the second smallest eigenvalue of the group Laplacian, as well as the corresponding eigenvector. Furthermore, distributed gradient-based flocking algorithms that exploit decentralized eigenvalue/eigenvector estimation are developed both to steer the agent group to the desired flocking motion and to maintain the global connectivity of the underlying network during maneuvers. Different from the common potential/tension function method which keeps certain fixed edges all the time, the algorithm proposed in this paper guarantees the global connectivity which allows any existing edge to be broken, thus gives more freedom of motions for the agents. Finally, nontrivial simulations are performed to demonstrate the correctness and effectiveness of the theoretical results.

关键词： underlying desired agents

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Haptic Interaction Between Human and Virtual iCub Robot Using Novint Falcon with CHAI3D and MATLAB

Haptic Interaction Between Human and Virtual iCub Robot Usin...

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第三十二届中国控制会议

作者： Pierre Renon Chenguang Yang Hongbin Ma Rongxin Cui School of Computing and Mathematics University of Plymouth Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781479900305

The paper describes our preliminary investigation of haptic interaction between the human and virtual iCub robot. With haptic interaction,the user is able to have tactile sensensaiton of the robot environment,and hence to manipulate a robot remotely,for instance,from the user's office to perform some tasks at home,or a patient operation,realized by a surgeon several miles *** this work,haptic interaction has been implemented using a 3D joystick,Novint Falcon,to connect with a virtual robot created by the Cub Simulator,which works with YARP interface and simulates the real iCub robot developed by Italian *** this end,two approaches based on CHAI3D and MATLAB are introduced and implemented in this paper and furthermore,some ideas to improve the human-robot interaction performance have also been discussed.

关键词： haptic interaction virtual robot iCub Simulator CHAI3D YARP Novint Falcon

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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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controlling mobile Spykee robot using Emotiv Neuro Headset

Controlling mobile Spykee robot using Emotiv Neuro Headset

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第三十二届中国控制会议

作者： Simon Grude Matthew Freeland Chenguang Yang Hongbin Ma School of Computing and Mathematics University of Plymouth Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology

ISBN: (纸本)9781479900305

This paper investigates controlling the commercialized Spykee mobile robot,using only brain electroencephalography (EEG) signals transmitted by the Emotiv Epoc Neuro *** Spykee robot is equipped with a wireless communication protocol to control *** visualization and motor control methods have been carried out and analyzed in order to control the robot with *** 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.

关键词： electroencephalography(EEG) Emotiv Epoc Neuro Headset Spykee Echo State Network(ESN)

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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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Distributed Efficient Charging Coordinations for Electric Vehicles under Progressive Second Price Auction Mechanism

Distributed Efficient Charging Coordinations for Electric Ve...

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IEEE Annual Conference on decision and control

作者： Suli Zou Zhongjing Ma Xiangdong Liu School of Automation BIT Beijing China School of Automation BIT and the National Key Laboratory of Complex System Intelligent Control and Decision (BIT) China School of Automation BIT

ISBN: (纸本)9781467357159

We designed a distributed charging coordination method for electric vehicles over a multi-time interval with the so-called progressive second price (PSP) auction mechanism which was proposed by Lasar and Semret in order to efficiently allocate the divisible resources among multi agents. The incentive compatibility holds for the auction games under the PSP mechanism. However due to the cross-elastic correlation among the different charging instants, the marginal valuation of an individual agent at each instant is determined by both the demand at this instant and the total demand at the whole interval. This phenomena makes the underlying auction games distinct from those studied in the literature. As a main contribution of the paper, we showed that the efficient bid profile over the multi-time interval is a Nash equilibrium of the auction systems.

关键词： Plug-in electric vehicles Efficient charging coordinations Auction Progressive second price auction Mechanism Game theory Nash equilibrium

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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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