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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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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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Improved simulated annealing algorithm for task allocation in real-time distributed systems

Improved simulated annealing algorithm for task allocation i...

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IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)

作者： Wenbo Wu Lin Li Xinyu Yao College of Information System and Management National University of Defense Technology Changsha China Environment Effects on Electronic and Information System The State Key Laboratory of Complex Electromagnetic Luoyang China The State Key Laboratory of Complex Electromagnetic Environment Effects on Electronic and Information System Luoyang China National University of Defense Technology Changsha Hunan CN

This paper addresses the problem of task allocation in real-time distributed systems with the goal of maximizing the system reliability, it has been shown to be NP-hard. Many studies have been made to solve this problem without considering the real-time constraint. We first take account of the deadline constraint in order to formulate this problem, and then propose an improved simulated annealing algorithm call adaptive memory-based simulated annealing (AMSA) to solve the problem. The AMSA introduces adaptive factors to reduce the total computation time, and adds memory function to save the recently visited solutions and best solution by now. The effectiveness of AMSA is evaluated by comparing with traditional simulated annealing algorithm. The results show that AMSA can produce “good enough” solution in much less time.

关键词： Resource management Simulated annealing Software reliability Distributed computing Real-time systems Memory management

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Causal Inference in Social Media Using Convergent Cross Mapping

Causal Inference in Social Media Using Convergent Cross Mapp...

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IEEE Joint Intelligence and Security Informatics Conference (JISIC)

作者： Chuan Luo Xiaolong Zheng Daniel Zeng State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Department of Management Information Systems University of Arizona Tucson USA

Revealing underlying causal structure in social media is critical to understanding how users interact, on which a lot of security intelligence applications can be built. Existing causal inference methods for social media usually rely on limited explicit causal context, pre-assume certain user interaction model, or neglect the nonlinear nature of social interaction, which could lead to bias estimations of causality. Inspired from recent advance in causality detection in complex ecosystems, we propose to take advantage of a novel nonlinear state space reconstruction based approach, namely Convergent Cross Mapping, to perform causal inference in social media. Experimental results on real world social media datasets show the effectiveness of the proposed method in causal inference and user behavior prediction in social media.

关键词： Media Time series analysis Manifolds Nonlinear dynamical systems Twitter Security

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Nearly Optimal control Scheme for Discrete-Time Nonlinear systems With Finite Approximation Errors Using Generalized Value Iteration Algorithm

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IFAC Proceedings Volumes 2014年第3期47卷 4134-4139页

作者： Qinglai Wei Derong Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China (Tel: +86-10-82544761 Fax: +86-10-82544799

In this paper, a new generalized value iteration algorithm is developed to solve infinite horizon optimal control problems for discrete-time nonlinear systems. The idea is to use iterative adaptive dynamic programming (ADP) to obtain the iterative control law which makes the iterative performance index function reach the optimum. The generalized value iteration algorithm permits an arbitrary positive semi-definite function to initialize it, which overcomes the disadvantage of traditional value iteration algorithms. When the iterative control law and iterative performance index function in each iteration cannot be accurately obtained, a new design method of the convergence criterion for the generalized value iteration algorithm with finite approximation errors is established to make the iterative performance index functions converge to a finite neighborhood of the lowest bound of all performance index functions. Simulation results are given to illustrate the performance of the developed algorithm.

关键词： Adaptive dynamic programming approximate dynamic programming nonlinear system optimal control reinforcement learning

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Closed-loop controlled nanoprobing inside SEM

Closed-loop controlled nanoprobing inside SEM

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IEEE Conference on Nanotechnology

作者： Chao Zhou Zheng Gong Brandon K. Chen Min Tan Yu Sun State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Advanced Micro and Nanosystems Laboratory University of Toronto Toronto ON Canada

Probing nanostructures (e.g., nanoelectronics) requires accurate and precise nanopositioning. Furthermore, since measuring I-V data from DC to GHz typically takes more than a minute, little drift is tolerated during the data collection process. This paper reports a closed-loop controlled nanomanipulation system for operation inside a scanning electron microscope (SEM). The system consists of long range coarse positioners and high precision fine positioners. A new position sensing method was developed to achieve nanometer sensing resolution. Closed-loop controller is introduced to control fine. Experimental results demonstrate that the system is capable of automated probing of nanostructures with accuracy better than 3 nm and a drift rate

关键词： Scanning electron microscopy Nanobioscience Strain Nanostructures Sensor systems Manipulators

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