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IEEE International Conference on Fuzzy systems

作者： Chen Li Hongbin Ma Chenguang Yang Menyin Fu School of Automation as well as State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781479920747

This paper describes our preliminary development of a virtual robot teleoperation platform based on hand gesture recognition using visual information. Hand gestures in images captured by a camera are recognised to control a virtual iCub. We employ two methods to realise the classification: Adaptive Neuro-fuzzy Inference systems (ANFIS) and Support Vector Machines (SVM). We realise the teleoperation of a virtual robot using iCubSimulator. The technique in the paper will enable us to teleoperate a physical robot in the future work. In addition, a video server is set up to monitor the real robot. By using the parallel system we are able to improve the robot's performance. Based on the techniques presented in this paper, the virtual iCub can perform the specified actions remotely in a natural manner.

关键词： Solid modeling Mathematical model MATlab Robot kinematics Gesture recognition Fuzzy logic

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Improving Constraint Handling for Multiobjective Particle Swarm Optimization

Improving Constraint Handling for Multiobjective Particle Sw...

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第三十三届中国控制会议

作者： Erdong Yu Qing Fei Hongbin Ma Qingbo Geng School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology

ISBN: (纸本)9781479947249

In this paper,a novel particle swarm algorithm for solving constrained multiobjective optimization problems is *** new algorithm is able to utilize valuable information from the infeasible region by intentionally keeping a set of infeasible solutions in each *** enhance the diversity of these preserved infeasible solutions,a modified version of adaptive grid is *** addition,a voting mechanism is designed to balance the preference of infeasible solutions with smaller constraint violation and the exploration of the infeasible *** effectiveness of the proposed method is validated by simulations on several commonly used benchmark *** using the hypervolume indicator,it is shown that the proposed algorithm is more powerful than two other state-of-the-art algorithms.

关键词： multiobjective,constraint handling,particle swarm optimization,adaptive grid,voting mechanism

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An Approach of Bayesian Filtering for Stochastic Boolean Dynamic systems

An Approach of Bayesian Filtering for Stochastic Boolean Dyn...

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第26届中国控制与决策会议

作者： Hongbin MA Dong WANG Hongsheng QI Mengyin FU School of Automation Beijing Institute of Technology the State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology the Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of Sciences

This paper introduces an approach to estimate the true states for stochastic Boolean dynamic system(SBDS), where the state evolution is governed by Boolean functions with additive binary process noise while the measurement is an arbitrary function of the state yet with additive binary measurement *** problem of figuring out the true state using the only available noisy outputs is crucial for practical applications of Boolean dynamic system models, however, for such Boolean systems with wide background, there are no ready-to-use convenient tools like Kalman filter for linear systems. To resolve this challenging problem, an approach based on Bayesian filtering called Boolean Bayesian Filter(BBF) is put forward to estimate the true states of SBDS, and an efficient algorithm is presented for their exact computation. An index to evaluate the filtering performance,named estimation error rate, is put forward in this paper as well. In addition, extensive simulations via actual examples have illustrated the effectiveness of the proposed algorithm based on BBF.

关键词： Stochastic Boolean dynamic systems,Bayesian filtering,estimation algorithm,estimation error rate

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Optimal Formation of Robots by the Continuous-Discrete PSO Algorithm in Three Dimensional Space

Optimal Formation of Robots by the Continuous-Discrete PSO A...

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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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Removing water fluctuation via motion field-based kernel regression

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Journal of Information and Computational Science 2014年第15期11卷 5289-5296页

作者： Hu, Wenrui Xie, Yuan Zhang, Wensheng Tan, Yuanhua State Key Lab. of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Karamay Hongyou Software Co. Ltd. Xinjiang China

A new approach is proposed in this paper to recover the original image of an underwater scene from a given sequence distorted by water fluctuation. The contribution of our method is to use a motion field-based kernel regression to reconstruct an undistorted image. It first utilizes the image registration method to generate registered frames and the corresponding motion fields, and then detect a set of stationary patches from registered frames by calculating the movement energy of local regions. Finally, a temporal kernel regression is carried out to combine the detected stationary patches to reconstruct an undistorted stationary image. Experiments illustrate that this approach can effectively alleviate distortions and significantly improve visual quality of the distorted images. Copyright © 2014 Binary Information Press.

关键词： Image registration

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Using Web Data to Enhance Traffic Situation Awareness

Using Web Data to Enhance Traffic Situation Awareness

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17th International IEEE Conference on intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Xiao Wang Ke Zeng Xue-Liang Zhao Fei-Yue Wang Qingdao Academy of Intelligent Industries State Key Lab of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences school of electronic and information engineering Xi’an Jiaotong University

With the ubiquity of mobile communication devices,people experiencing traffic jams share real-time information and interact with each other on social media sites,which provide new channels to monitor,estimate and manage traffic *** this paper,we use natural language processing and data mining technologies to extract traffic jam related information from ***,analyze the content of people’s talk to discover the "talking point" of people when facing traffic jams,and to provide data support for relevant authorities to make successful and effective decisions for real-time traffic jam response and management.

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Dual adaptive control of bimanual manipulation with online fuzzy parameter tuning

Dual adaptive control of bimanual manipulation with online f...

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IEEE International Symposium on intelligent control (ISIC)

作者： Alex Smith Chenguang Yang Hongbin Ma Phil Culverhouse Angelo Cangelosi Etienne Burdet Center for Robotics and Neural Systems Plymouth University Devon UK Key Laboratory of Autonomous System and Network Control South China University of Technology Guangzhou P. R. China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing P. R. China Department of Bioengineering Imperial College London UK

A biomimetic controller with online adaptation of impedance and force is applied to a full kinematic and dynamic model of the Baxter bimanual robot. A set of fuzzy logic engines are proposed to infer the values of tuning gains which affect the control performance and control effort of the controller, which would conventionally be set to a static value based on expert knowledge of the controller; the aim of this being to avoid the use of arbitary values to set these values. A simulated experiment is carried out, where the Baxter robot is required to move an object through a trajectory while subjected to two different disturbance forces in four phases. The controller with fuzzy inferred control gains is compared against the same controller with fixed gains to gauge the effectiveness of the new method. Results show that fuzzy inference of control gains impart an improvement in both tracking error and control effort.

关键词： Trajectory Fuzzy logic Force Dynamics Mathematical model Manipulators

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Using Web data to enhance traffic situation awareness

Using Web data to enhance traffic situation awareness

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International Conference on intelligent Transportation

作者： Xiao Wang Ke Zeng Xue-Liang Zhao Fei-Yue Wang Qingdao Academy of Intelligent Industries Chinese Academy of Sciences Beijing Shandong China School of electronic and information engineering Xi'an Jiaotong University Xi'an China The State Key Lab of Management and Control for Complex Systems Institute of Automation Beijing China

ISBN: (纸本)9781479960798

With the ubiquity of mobile communication devices, people experiencing traffic jams share real-time information and interact with each other on social media sites, which provide new channels to monitor, estimate and manage traffic flows. In this paper, we use natural language processing and data mining technologies to extract traffic jam related information from ***, analyze the content of people's talk to discover the “talking point” of people when facing traffic jams, and to provide data support for relevant authorities to make successful and effective decisions for real-time traffic jam response and management.

关键词： Media Transportation Real-time systems Data mining Message systems Monitoring

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An analysis of Beijing HFMD patients mobility pattern during seeking treatment

An analysis of Beijing HFMD patients mobility pattern during...

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2013 International Conference for Smart Health, ICSH 2013

作者： Zhu, Zhaonan Cao, Zhidong Zeng, Daniel Dajun State Key Lab. of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783642398438

Previous epidemiological researches have studied HFMD transmission pattern, but the study on the patients mobility pattern while seeking treatment is absent. In this paper, we present a statistical analysis of the spatialtemporal pattern of the Beijing HFMD patients mobility based on a complete works dataset containing over 40,000 cases in 2010. The main findings are as follows: (1) the patents incline to take their sick children to hospitals on weekdays, especially on Monday;(2) the patients living far from city center are more likely to get to hospitals in the afternoon, while the patients in the downtown in the morning;(3) patients (or their parents) either select the nearby hospitals, or the Class-A hospitals in the downtown. Furthermore, we employ a gravity model to describe the spatial mobility pattern of patients. The experiment results show a good fit. © 2013 Springer-Verlag.

关键词： Hospitals

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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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