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ITSC 2006: 2006 IEEE Intelligent Transportation systems Conference

作者： Xu, Jing Yu, Wen-Sheng Wang, Fei-Yue Institute of Automation Chinese Academy of Sciences Beijing 100080 China University of Arizonas Systems and Industrial Engineering Department Program in Advanced Research of Complex Systems Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences

ISBN: (纸本)1424400945

This paper presents the technique of adaptive critic designs (ACDs) for resolving some traffic control problems, such as urban traffic signal control, ramp metering, highway speed control and so on. ACDs are adaptive optimal methods, whose main idea is to approximate dynamic programming solutions by using a function approximation structure such as neural networks to approximate the cost function or its derivatives. They combine the positive features of both the traditional dynamic programming (e.g., optimality and feedback) and the neural networks (e.g., numerical and real-time properties). Due to these exciting merits, they are promising in handling the traffic control problems which have strong nonlinear, stochastic and real-time characteristics. In this paper, a close look at two typical adaptive critic designs is conducted. Specifically, we demonstrate the use of a specific adaptive critic design for the local on-ramp metering control problem. Simulation results indicate that the proposed controller has good performance. © 2006 IEEE.

关键词： Traffic control

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Modeling interactions in artificial transportation systems using petri net

Modeling interactions in artificial transportation systems u...

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ITSC 2006: 2006 IEEE Intelligent Transportation systems Conference

作者： Zhu, Fenghua Wang, Zhixue Wang, Fei-Yue Tang, Shuming IEEE Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences CO 100080 Beijing China Key Laboratory for Complex Systems and Intelligence Science Chinese Academy of Sciences Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson AZ 85719 United States Institute of Automation Shandong Academy of Sciences Jinan 250014 China

ISBN: (纸本)1424400945

Agents and interactions between them are two key roles in modeling artificial transportation systems. This paper presents a formal theory to describe interactions between agents, which, together with the well developed models to describe components as agents, completes the first step towards establishing the formal structure for artificial transportation systems. By describing individual agents and the interactions between them as independent simple sequence processes and directive communication channels respectively, we models the whole system as one sequential communications system, which is one special type of Petri net. The theory is flexible enough to model diversified interactions between agents, and the resultant model possesses favorable properties. A case study of modeling road network has been conducted for the purpose of illustration. © 2006 IEEE.

关键词： Transportation

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Modeling and analysis of artificial transportation system based on multi-agent technology

Modeling and analysis of artificial transportation system ba...

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ITSC 2006: 2006 IEEE Intelligent Transportation systems Conference

作者： He, Feng Miao, Qinghai Li, Yuantao Wang, Fei-Yue Tang, Shuming IEEE Key Laboratory for Complex Systems and Intelligence Science Chinese Academy of Sciences Beijing China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences CO 100080 Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson AZ 85719 United States Institute of Automation Shandong Academy of Sciences Jinan 250014 China

ISBN: (纸本)1424400945

This paper presents the multi-agent architecture for artificial transportation system. In this architecture, Petri net is used as basic model to represent agents. At an intersection, the agents are divided into two groups: one for the traffic-signal and the other for the vehicle flow, which are integrated to represent the behavior of this intersection. In addition, those agents can be used as the modularity to represent urban network of more scale. To coordinate different intersection agents, game theory is used to design coordination strategy between agents. The iterated elimination of strictly dominated strategies algorithm is presented to find Nash equilibrium. © 2006 IEEE.

关键词： Transportation

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Design of an emergency prediction and prevention platform for societal security decision support using neural networks

Design of an emergency prediction and prevention platform fo...

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International Workshop on Intelligence and Security Informatics, WISI 2006

作者： Hou, Zeng-Guang Tan, Min Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences P.O. Box 2728 Beijing 100080 China

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An improved super-resolution with manifold learning and histogram matching

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International Conference on Biometrics, ICB 2006

作者： Chan, Tak Ming Zhang, Junping Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science and Engineering Fudan University 200433 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)3540311114

Biometric Person Authentication such as face, fingerprint, palmprint and signature depends on the quality of image processing. When it needs to be done under a low-resolution image, the accuracy will be impaired. So how to recover the lost information from down-sampled images is important for both authentication and preprocessing. Based on Super-Resolution through Neighbor Embedding algorithm and histogram matching, we propose an improved super-resolution approach to choose more reasonable training images. First, the training image are selected by histogram matching. Second, neighbor embedding algorithm is employed to recover the high-resolution image. Experiments in several images show that our improved super-resolution approach is promising for potential applications such as low-resolution mobile phone or CCTV (Closed Circuit Television) image person authentication. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Pattern matching

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A scheduling algorithm for vehicular application specific embedded operating systems

A scheduling algorithm for vehicular application specific em...

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2006 IEEE International Conference on systems, Man and Cybernetics

作者： Sun, Yuan Wang, Fei-Yue Wang, Zhi-Xue Qiao, Xin Wang, Kun-Feng Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing China Department of Systems and Industrial Engineering University of Arizona Tucson United States

ISBN: (纸本)1424401003

In this paper, a feedback algorithm based on the Constant Bandwidth Server (CBS) is designed to support and meet the quality of service requirements of soft real-time tasks in Vehicular Application Specific Embedded Operating systems (vASOS). Moreover, it realizes the temporal isolation of hard and soft real-time tasks and guarantees the reliability and safety of vehicles in vASOS. A Proportional Integrative Derivative (PID) controller is applied to control the fraction of CPU bandwidth allocated to these tasks, and a precise mathematical model is provided. Finally, the system stability is analyzed and its effectiveness of our method is verified by simulation. © 2006 IEEE.

关键词： Scheduling algorithms

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Neural networks for mobile robot navigation: A survey

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Zou, An-Min Hou, Zeng-Guang Fu, Si-Yao Tan, Min Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences P.O. Box 2728 Beijing 100080 China

ISBN: (纸本)3540344373

Nowadays, mobile robots have attracted more and more attention from researchers due to their extensive applications. Mobile robots need to have the capabilities of autonomy and intelligence, and they pose a challenge to researchers, which is to design algorithms that allow the robots to function autonomously in unstructured, dynamic, partially observable, and uncertain environments [1]. Navigation is the key to the relative technologies of mobile robots and neural networks are widely used in the field of mobile robot navigation due to their properties such as nonlinear mapping, ability to learn from examples, good generalization performance, massively parallel processing, and capability to approximate an arbitrary function given sufficient number of neurons. This paper surveys the developments in the last few years of the neural networks with applications to mobile robot navigation. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Mobile robots

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Face recognition with relative difference space and SVM

Face recognition with relative difference space and SVM

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18th International Conference on Pattern Recognition, ICPR 2006

作者： Xiaoguang, He Jie, Tian Yuliang, He Xin, Yang Key Laboratory of Complex Systems and Intelligence Science Graduate School Chinese Academy of Sciences P.O.Box 2728 Beijing 100080 China

ISBN: (纸本)0769525210

In this paper, a new method based on Relative Difference space (RDS) and Support Vector Machine (SVM) is proposed for multi-class recognition. First the RDS transformation converts the multi-class problem to a binary-class problem, and then SVM is used for the binary classification directly. Compared with the traditional method of Difference Space (DS), RDS is reversible and it overcomes the illtransformation problem. This method is applied to face recognition in Yale Face database B, and the recognition result demonstrates its robust performance under different illumination conditions. © 2006 IEEE.

关键词： Face recognition

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Adaptive segmentation of color image for vision navigation of mobile robots

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Zhao, Zeng-Shun Hou, Zeng-Guang Tan, Min Zhang, Yong-Qian Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences P.O. Box 2728 Beijing 100080 China

ISBN: (纸本)3540344373

The self-localization problem is very important when the mobile robot has to move in autonomous way. Among techniques for self-localization, landmark-based approach is preferred for its simplicity and much less memory demanding for descriptions of robot surroundings. Door-plates are selected as visual landmarks. In this paper, we present an adaptive segmentation approach based on Principal Component Analysis (PCA) and scale-space filtering. To speed up the entire color segmentation and use the color information as a whole, PCA is implemented to project tristimulus R, G and B color space to the first principal component (1st PC) axis direction and scale-space filtering is used to get the centers of color classes. This method has been tested in the color segmentation of door-plate images captured by mobile robot CASIA-1. Experimental results are provided to demonstrate the effectiveness of this proposed method. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Image segmentation

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Dynamics and Stable Control for a Class of Underactuated Mechanical systems

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自动化学报 2006年第3期32卷 422-427页

作者： LIU Dian-Tong GUO Wei-Ping YI Jian-Qiang Institute of Computer Science and Technology Yantai University Yantai 264005 Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080

The control of underactuated mechanical systems is very complex for the loss of its control inputs. The model of underactuated mechanical systems in a potential field is built with Lagrangian method and its structural properties are analyzed in detail. A stable control approach is proposed for the class of underactuated mechanical systems. This approach is applied to an underactuated double-pendulum-type overhead crane and the simulation results illustrate the correctness of dynamics analysis and validity of the proposed control algorithm.

关键词：动态系统稳定性控制机械系统起重机

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