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Annual Conference of the IEEE Industrial Electronics Society

作者： Wangli He Qing-Long Han Feng Qian The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Centre for Intelligent and Networked Systems Central Queensland University

ISBN: (纸本)9781479940318

This paper studies global synchronization between a heterogeneous dynamical network and a known target trajectory via distributed impulsive control. Synchronization with an error level, called quasi-synchronization, is analyzed by utilizing the time-varying Lyapunov function. Some sufficient quasi-synchronization conditions are presented and explicit expressions of error levels are derived. Furthermore, the effects of the pinning control matrix and the coupling strength are explored. Unlike the continuous pinning feedback control, it is shown that a large coupling strength will destroy synchronization in the present of impulsive controller, which is also verified by our simulations.

关键词： Lyapunov methods distributed control interconnected systems matrix algebra time-varying systems trajectory control coupling strength distributed impulsive control global synchronization heterogeneous dynamical network pinning control matrix quasisynchronization target trajectory time-varying Lyapunov function Couplings Educational institutions Eigenvalues and eigenfunctions Symmetric matrices Synchronization Trajectory

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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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Emergency response study of space launch based on Decision Network Planning

Emergency response study of space launch based on Decision N...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Wei Wei Xiwei Liu Changjian Cheng The Academy of Equipment Beijing China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479960590

Space launch is a complex project with high risk, and failure of space launch may cause a great loss to people's life, property and important facilities. Thus a resonable and effective emergency response program is critical and important for space launch. First, a Decision Network Planning (DNP) method is proposed to describe logic relations of emergency response procedures, based on which the logical reasonability and rigor, coordination of several involved departments, timeliness of emergency measures and sufficiency of resources guarantee are evaluated. Then, the critical path and resource guaranteed rate are calculated to analyze the degree of control in the emergency process of space launch failure. Last, a case of filling leakage is used to show the helpfulness of the proposed method.

关键词： complexity theory

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Visual Vehicle Tracking Based on Conditional Random Fields

Visual Vehicle Tracking Based on Conditional Random Fields

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

作者： Yuqiang Liu Kunfeng Wang Fei-Yue Wang Qingdao Academy of Intelligent Industries The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

This paper proposes an approach to moving vehicle tracking in surveillance videos based on conditional random fields(CRF).The key idea is to integrate a variety of relevant knowledge about vehicle tracking into a uniform probabilistic framework by using the CRF *** this work,the CRF model integrates spatial and temporal contextual information of vehicle motion,and the appearance information of the *** approximate inference algorithm,loopy belief propagation,is used to recursively estimate the vehicle region from the history of observed ***,the background model is updated adaptively to cope with non-stationary background *** results show that the proposed approach is able to accurately track moving vehicles in monocular image ***,region-level tracking realizes precise localization of vehicles.

关键词： Vehicle tracking,conditional random fields,region-level tracking

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Vehicle License Plate Recognition Based on Class-specific ERs and Sa E-ELM

Vehicle License Plate Recognition Based on Class-specific ER...

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

作者： Chao Gou Kunfeng Wang Bo Li Fei-yue Wang Qingdao Academy of Intelligent Industries the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

In this paper,an effective approach to vehicle license plate recognition based on Extremal Regions(ERs) and Self-adaptive Evolutionary Extreme Learning Machine(Sa EELM) is *** the license plate detection step,some computations including morphological operations,various filters,different contours and validations are sequentially performed to extract some image regions as candidate license ***,accurate character segmentation is achieved through a proper selection of *** the character recognition step,the HOG(histogram of oriented gradients) feature vector in each character region is extracted,and then the characters are recognized using an offline trained pattern classifier of Sa *** results show that our approach works quite well in complex traffic environments.

关键词： image Vehicle License Plate Recognition Based on Class-specific ERs and Sa E-ELM License

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A universal vision-based roll angle estimation method for mobile robots

A universal vision-based roll angle estimation method for mo...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Xilong Liu Zhiqiang Cao Chao Zhou Kun Ai Min Tan State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing P. R. China

In this paper, a novel vision-based method for roll angle estimation of the robot is proposed. Inspired by biological visual cortex, scales and shapes of local patterns whose directions may contribute to the judgment of the scenes' gravity and horizon are determined. On this basis, a local direction detector is designed and all the detected local directions in an image are summed up into the direction function. Then the precise directions of gravity and horizon may be easily obtained by using statistical techniques. Experiments illustrate the generalization and effectiveness of the proposed method.

关键词： Estimation Detectors Mobile robots Gravity Vehicles

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Iterated extended Kalman filter for time-delay systems with multi-sample-rate measurements

Iterated extended Kalman filter for time-delay systems with ...

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World Congress on Intelligent control and Automation (WCICA)

作者： Yao Sun Fengshui Jing Zize Liang State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing P. R. China

Although optimal fusion algorithms of system state estimation have been proposed and studied for FAST in the past years, multi-sample-rate measurements and observation time-delay have always been restrictive factors to derive a glorious fusion results for state estimation. Based on the optimal fusion algorithm in the minimum mean square error sense, an iterated extended Kalman filter is investigated for discrete-time systems with multi-sample-rate measurements and delayed measurements in this paper, re-sampling observations from high sampling frequency channel and reducing the usage rate of observations with greater noises to investigate the estimation problem. The performance and improvement is clearly demonstrated through the numerical example. This study is manifestly advantageous for the feed supporting system of FAST.

关键词： Kalman filters State estimation Noise Extraterrestrial measurements Delays Frequency measurement

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A general image skew detection approach with a bio-inspired mechanism

A general image skew detection approach with a bio-inspired ...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xilong Liu Zhiqiang Cao Kun Ai Jile Jiao Min Tan State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing P. R. China

This paper proposes a simple but effective bio-inspired approach for skew detection of different kinds of images including nature images, documents, paintings etc., which requires no parameter tuning. Without relying on local visual cues, the proposed approach exploits the global statistics of an image. Orientation perceptron is designed in the inspiration of biological simple cells for local orientation detection. Statistics of their outputs are processed and then transferred by orientation transform into a curve whose maximum value is used to determine the skew angle. The effectiveness of the proposed approach is verified by experiments.

关键词： Gravity Transforms Estimation Visualization Pattern recognition Mathematical model Algorithm design and analysis

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ACP based self-learning control for urban intersection

ACP based self-learning control for urban intersection

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2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Feng Chen Lingyun Zhu Chuyue Han Gang Xiong University of Science and Technology of China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

The intersection models,such as delay models and queuing length models,are the foundations of optimal signal timing for urban *** of the field data of intersection,it is highly difficult to calibrate parameters of the intersection *** to the effects of intersection topology,channelization and traffic conditions on these models,obviously it is impossible for single model to be suitable for optimal control of various *** is emerging technique for Intelligent Traffic systems(ITS).It provides an effective means for problem-solving of complex traffic issues by constructing artificial system which is consistent with corresponding real *** on ACP approach,we propose a self-learning optimal control strategy for typical *** this approach,optimal control policy is found by systematic interaction with the traffic environment,so as to adapt dynamic traffic conditions and different intersection ***,according to traffic characteristics analysis of intersection,joint control of all approaches can be reduced to optimal control of only one ***,the computational and storage complexities are decreased *** experiment results demonstrate that our approach has considerably lower average delay and higher traffic capacity of intersection than these optimal control methods which are respectively based on HCM2000 and Webster models.

关键词： HCM agent ACP based self-learning control for urban intersection

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Distributed Estimation over Analog Fading Channels Using Constant-Gain Estimators

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IFAC Proceedings Volumes 2014年第3期47卷 2872-2877页

作者： Nan Xiao Lihua Xie Yugang Niu Yiguang Hong Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education Shanghai 200237 China EXQUISITUS Centre for E-City School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China

This paper considers the distributed estimation of an unstable target via constant-gain estimators under local communications and channel fading. The communication graph is assumed to be fixed and undirected, and the channel fading is assumed to be identical. Necessary and sufficient conditions on communication network over which the state of the unstable target can be estimated in the mean square sense are given for both continuous-time and discrete-time cases, which reveal the fundamental limitation on distributed estimation induced by local communications, channel fading, and target dynamics. In addition, our results for the case without channel fading and the case with separate communications are consistent with the results in the literature.

关键词： Analog fading channel constant-gain estimator distributed estimation mean square detectability

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