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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Yong Feng Feng Wang Hui Deng Xiaodong Fu Yunnan Key Laboratory of Computer Technology Applications School of Information Engineering and Automation Kunming University of Science and Technology Kunming Yunnan China

ISBN: (纸本)9781467358088

As an important component of transportation system, public transportation accounts for considerable proportion in the whole traffic flow. The public transportation vehicles can be categorized to two types: ones with determinate trajectories and schedules such as bus, tramway and light rail, the others with flexible and variable running paths, such as taxis. In this paper, we firstly present a driving path prediction method based destination gathering for taxis, which can make taxis' driving paths prescient in the initial stage of carrying passengers every time. Comparing with ordinary vehicles, public transportation vehicles have such features as long time running on roads, no privacy-protection need, and thus their trajectories can been opened. Through utilizing the features above, we propose a novel Public Transportation assisted Data Delivery scheme (PTDD) used to improve the performance of data delivery of Vehicular Delay Tolerant Networks (VDTNs). Simulation results based on a real map demonstrate the effectiveness of the proposed scheme.

关键词： Vehicular delay tolerant networks Data delivery Public transportation Driving path predication Public Transit Public Transportation Taxi manual reduction transport vehicles transport system

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An improved probabilistic data association method for multi-target tracking in clutter

An improved probabilistic data association method for multi-...

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2011 International Conference on Electrical, Information engineering and Mechatronics, EIEM 2011

作者： Wang, Yazhao Jia, Yingmin Du, Junping Yu, Fashan Beijing 100191 China Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781447124665

Improved data association methods for multi-target tracking are discussed in this paper. We introduce an exquisite gating technique based on the well-known probabilistic data association (PDA) filter, which calculates the association probabilities to the targets being tracked for each validated measurement. An important feature of the new algorithm is that it can divide the joint validation region into several parts in which the association probabilities can be calculated with more accuracy. The algorithm is tested and compared with both the generic PDA and joint probabilistic data association (JPDA) filter. Simulations are also presented to illustrate the effectiveness of the algorithm. © 2012 Springer-Verlag London Limited.

关键词： Clutter (information theory)

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Adaptive control for a cable driven robot arm

Adaptive control for a cable driven robot arm

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2012 9th IEEE International Conference on Mechatronics and automation, ICMA 2012

作者： Ma, Jianjun Li, Yanan Ge, Shuzhi Sam Social Robotics Laboratory Interactive Digital Media Institute National University of Singapore Singapore 119077 Singapore Department of Automatic Control College of Mechatronics and Automation National University of Defense Technology Changsha 410073 China NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 119613 Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Robotics Institute School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9781467312776

The cable-driven mechanism is usually used in robotic systems for the efficient transmission of forces or torques from actuators to the end-effector. However, the control design is challenging for these systems due to the cable compliance and transmission elasticity. In this paper, adaptive control in a cascaded structure is designed for the trajectory tracking of a cable driven robot arm. The desired control input is obtained by developing an adaptation scheme, which does not require the computation of the regressor matrix. Proportional-derivative (PD) control is designed to specify the actual control input such that the trajectory tracking is achieved. Simulation results are provided to show the effectiveness of the proposed method. © 2012 IEEE.

关键词： Cables

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A new bandwidth scheduling method for networked learning control

A new bandwidth scheduling method for networked learning con...

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UKACC International Conference on Control (CONTROL)

作者： Lijun Xu Kang Li Minrui Fei Dajun Du School of Electronics Electrical Engineering and Computer Science Queens University of Belfast Belfast UK Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronical Engineering and Automation Shanghai University Shanghai China

In this paper, the optimal bandwidth allocation scheduling problem for two-layer networked learning control systems (NLCSs) is studied. In NLCS, multiple networked feedback control loops share a common communication channel and they compete to bid for available bandwidth. A non-cooperative game fairness model is first formulated, which takes into consideration of a number of factors, such as transmission data rate, control sampling strategy and scheduling pattern. Then, a novel two-layer hierarchical market competition algorithm (THMCA) is proposed. Two hierarchical population individuals are defined in the algorithm, namely the holding companies and the subsidiary companies which altogether form conglomerates. Market competitions among these conglomerates lead to the convergence to a monopoly at the end, resulting in an optimal solution of the above problem. The algorithm is shown to have a high convergence rate and the comparison simulation results on a NLCS with up to 100 subsystems have demonstrated the effectiveness of the proposed method.

关键词： Companies Bandwidth Job shop scheduling Convergence Games Control systems Processor scheduling

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Compensation of unknown input dead zone using equivalent-input-disturbance approach

Compensation of unknown input dead zone using equivalent-inp...

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9th International Conference on Informatics in Control, automation and Robotics, ICINCO 2012

作者： Ouyang, Liyu She, Jinhua Wu, Min Hashimoto, Hiroshi School of Information Science and Engineering Central South University Changsha 410083 China Hunan Engineering Laboratory for Advanced Control and Intelligent Automation Changsha 410083 China School of Computer Science Tokyo University of Technology Hachioji Tokyo 192-0982 Japan Master Program of Innovation for Design and Eng. Advanced Inst. of Industrial Tech. Shinagawa Tokyo 140-0011 Japan

ISBN: (纸本)9789898565211

This paper considers the problem of the compensation of an unknown dead zone in the input of a plant. A new compensation method is presented based on the estimation of an equivalent input disturbance (EID). Unlike other methods, this method does not require the exact information of a dead zone. First, we consider the dead zone as an input-dependent disturbance and employ an EID estimator to estimate it. Then, we incorporate the estimate in the control input and compensate the effect of the dead zone almost completely. Simulation results demonstrate the validity of the method. Copyright © 2012 SciTePress.

关键词： Dead zones

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Image mosaicing algorithm for dynamic scenes using multi-scaled PHOG feature and optimal seam

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Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 2012年第4期25卷 624-631页

作者： Zou, Li-Hui Chen, Jie Zhang, Juan Lu, Jing-Hua Key Laboratory of Complex System Intelligent Control and Decision of Ministry of Education School of Automation Beijing Institute of Technology Beijing 100081 China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing 100083 China

Aiming at the problems of registration error and synthetic movement ghost which are caused by moving objects in image mosaicing, a mosaicing algorithm for dynamic scene using multi-scale pyramid histogram of oriented gradients (PHOG) and optimal seam is proposed. Firstly, a new feature, multi-scaled PHOG, is generated by introducing PHOG to multi-scale space corner detections. The feature is used to align images for avoiding the local impact caused by moving objects in image registration. Then, an optimal seam, guaranteeing the minimum difference in geometry and gray value, is searched by graph cut algorithm through constructing an energy function to remove the movement ghost. The experimental results show that the proposed algorithm is efficient in dealing with the problems of image mosaicing with moving objects, and the mosaicing results are satisfactory with high precision.

关键词： Graphic methods

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The use of artificial immune system algorithms in monitoring industrial

The use of artificial immune system algorithms in monitoring...

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International Conference on sciences of Electronics, Technologies of Information and Telecommunications (SETIT)

作者： Adel Abdelhadi Leila Hayet Mouss Department of Computer Science University of Khenchela El Houria Khenchela Algeria Laboratory automation and production Department of Industrial Engineering University of Batna Batna Algeria

We describe in this paper an overview of artificial immune system algorithms to solve the classification problem in industrial monitoring. We present artificial immune system algorithms, starting with the negative selection that happens to be a rich source of inspiration. We also, detail the clonal selection algorithm, which is based on the clonal selection theory. Finally, we detail other algorithms based of agent including the immune system and dendritic cell algorithm. In the end, we summarize the differences and similarities of the works discussed and we conclude on the prospects related to the approach of the algorithms of artificial immune systems for industrial monitoring to solve the classification problem.

关键词： Immune system Pathogens Classification algorithms Sociology Statistics Cloning

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Developing Objective SensitivityAnalysis of Periodic Systems： Case Studies of Biological Oscillators

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自动化学报 2012年第7期38卷 1065-1073页

作者： LU Bao-Yun YUE Hong Key Laboratory of Complex Systems and Intelligence Science Institute of AutomationChinese Academy of SciencesBeijing 100190P.R.China College of Computer Science and Technology Henan Polytechnic UniversityJiaozuo 454000P.R.China Department of Electronic and Electrical Engineering University of StrathclydeGlasgowG11QEUK

Sensitivity analysis is a powerful tool in investigating the impact of parameter variations on the change of system behaviours quantitatively. For a periodic system, sensitivity analysis is a challenging problem since the standard sensitivity metrics grow unbounded when time tends to infinity. Objective sensitivity analyses using various oscillation features such as period, phase, amplitude, etc. are therefore needed to circumvent this problem. In this work, a new concept of basal state sensitivity is proposed based on which a phase sensitivity calculation is derived. The improved period sensitivity calculation following an existing algorithm using singular value decomposition (SVD) is also presented, which provides a simple calculation for the basal state sensitivity. These new sensitivity calculations are developed with the purpose to analyse biological oscillators since there is an increasing interest in understanding how oscillations occur and what the main controlling factors are following a growing experimental and computational evidence of oscillations in biological systems. The improved calculation of period sensitivity is shown to be consistent with the previous methods through a well studied circadian rhythm model. The calculation of new objective sensitivities are also testified by the same circadian rhythm model as well as an oscillatory signal transduction pathway model, which further illustrates the efficiency of this approach in handling complex biological oscillators in the presence of reaction conservations.

关键词：周期系统生物系统振荡器敏感性分析灵敏度指标案例开发信号转导通路

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Modified Iterative-Learning-Control-Based Ramp Metering Strategies for Freeway Traffic Control With Iteration-Dependent Factors

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IEEE Transactions on Intelligent Transportation Systems 2012年第2期13卷 606-618页

作者： Zhongsheng Hou Jingwen Yan Jian-Xin Xu Zhenjiang Li Advanced Control Systems Laboratory of School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Department of Electrical and Computer Engineering National University of Singapore Singapore Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing China

For a freeway traffic system with strict repeatable pattern, iterative learning control (ILC) has been successfully applied to local ramp metering for a macroscopic freeway environment by formulating the original ramp metering problem as an output tracking, disturbance rejection, and error compensation problem. In this paper, we address the freeway traffic ramp-metering system under a nonstrict repeatable pattern. ILC-based ramp metering and ILC add-on to ALINEA strategies are modified to deal with the presence of iteration-dependent parameters, iteration-dependent desired trajectory, and input constraints. Theoretical analysis and extensive simulations are used to verify the effectiveness of the proposed approaches.

关键词： Traffic control Trajectory Mathematical model Vehicles Equations Feedback control

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SLTP: A Fast Descriptor for People Detection in Depth Images

SLTP: A Fast Descriptor for People Detection in Depth Images

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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Shiqi Yu Shengyin Wu Liang Wang School of Computer Science and Software Engineering Shenzhen University Shenzhen China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China

This paper presents a new feature descriptor for real-time people detection in depth images. The shape cue in depth images can reduce negative impacts of variations of clothing, lighting conditions and the complexity of backgrounds. The proposed Simplified Local Ternary Patterns (SLTP) can take advantage of depth images to describe human body shape with low computational cost. To evaluate the SLTP feature, we establish a dataset with 7260 positive samples. A series of experiments are carried out on this dataset, and the results show that the SLTP feature can achieve a high detection rate with a low false positive rate. Besides, SLTP is easy to implement, and performs fast (over 80 frames per second) on a standard desktop computer.

关键词： Feature extraction Histograms Computational efficiency Cameras Lighting Humans Image color analysis

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