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Data-driven predictive control for networked control systems

Information Sciences 2013年 235卷 45-54页

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

This paper is concerned with the problem of data-driven predictive control for networked control systems (NCSs), which is designed by applying the subspace matrices technique, obtained directly from the input/output data transferred from networks. The networked predictive control consists of the control prediction generator and network delay compensator. 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 delay compensator eliminates the effects of the network transmission delay. The effectiveness and superiority of the proposed method is demonstrated in simulation as well as experiment study.

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Fast adaptive robust control of electro-hydraulic servo system

Fast adaptive robust control of electro-hydraulic servo syst...

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Chinese control Conference (CCC)

作者： Yudong He Junzheng Wang Renjian Hao Key laboratory of intelligent control and decision of complex systems Beijing Institute of Technology Beijing Beijing CN

Electro-hydraulic servo systems (EHSSs) have been widely used in industrial and military applications for their high power-to-size ratio and the ability to supply huge force. However, precise control of EHSSs cannot be easily obtained due to their inner nonlinearity and parameter uncertainty. Variable load is another factor to decrease the tracking performance of EHSSs. Indirect adaptive robust control (IARC) was proposed to improve the tracking performance of EHSS, but due to the poor parameter adapting speed, IARC can be further improved to have better performance. Traditional projection type parameter estimation algorithm is redesigned to increase the adapting speed when parameter is changed. A fast adaptive robust control (FARC) is then proposed to speed up the parameter adapting speed, so that a better tracking performance of FARC is maintained. Simulation results show that the proposed FARC gives an improved tracking performance and a faster parameter adaptation.

关键词： Estimation Robust control Servomotors Force Valves Adaptive systems Load modeling

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The algorithm of MIMU/odometer integrated navigation system aided by nonholonomic constraints

The algorithm of MIMU/odometer integrated navigation system ...

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International Conference on Mechatronic Science, Electric Engineering and Computer

作者： Shi Peng Xiao Xuan State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

ISBN: (纸本)9781479925667

The navigation precision drops rapidly when MIMU (Micro Inertial Measurement Unit) works alone. Odometer data are easy to get on land vehicle, but the performance of integration system of MIMU/odometer is not enhanced obviously. In this work, a novel method is designed using nonholonomic constraints. When vehicle travels without slide and jump, the velocity in the plane perpendicular to forward direction is zero, as well as acceleration. Taking velocity constraint and acceleration constraint as measurement value, new measurement models are established. Integrated navigation algorithm is designed with the help of Kalman filter. With this method, the position error is 150m after 600s, and heading attitude error is 0.1°, comparing the result that the position error expands to 300m after 150s only aided by odometer.

关键词： Vehicles Acceleration Global Positioning system Velocity measurement Noise Kalman filters

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Low level saliency feature extraction method based on Hessian threshold

Low level saliency feature extraction method based on Hessia...

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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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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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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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