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6th World Congress on intelligent control and Automation, WCICA 2006

作者： Jianfeng, Lv Liankui, Dai National Key Lab. of Industrial Control Technology Institute of Intelligent Systems and Decision Making Zhejiang University Hangzhou 310027 China

ISBN: (纸本)1424403324

In order to overcome the high dimension and collinearity problem of spectrum data in spectroscopy quantitative analysis, we introduce a partial least squares support vector machines (PLS-SVM) method, which integrates partial least squares (PLS) and support vector machines (SVM). The method uses PLS to extract the feature of spectrum. Then the feature serves as the input of SVM calibration model instead of the whole spectrum. Experimental results show that PLS-SVM is superior to PLS in terms of prediction precision, while the modeling time is greatly reduced compared with SVM without feature extraction. © 2006 IEEE.

关键词： Support vector machines

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Neural network based time-delay estimation for nonlinear dynamic systems 15th

Neural network based time-delay estimation for nonlinear dyn...

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15th World Congress of the International Federation of Automatic control, 2002

作者： Tan, Yonghong Su, Chun-Yi Karim, Naz Lab. of Intelligent Systems and Control Engineering Guilin University of Electronic Technology Guilin541004 China Dept. of Mechanical Eng. Concordia University Montreal Canada Dept. of Chemical Eng. Colorado State University Fort Collins United States

ISBN: (纸本)9783902661746

The estimation for the nonlinear dynamic system with time-varying input time-delay is an important issue for system identification. In order to estimate the dynamics of the process, a dynamic neural network with external recurrent structure is applied to the modelling procedure. In the case where time-delay is time varying, a useful way is to develop on-line time-delay estimation mechanisms to track the input time-delay variation. In this paper, two schemes respectively called direct as well as indirect time-delay estimators are proposed. Finally, two numerical examples are illustrated for the test of the proposed methods. Copyright © 2002 IFAC.

关键词： Time delay

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Technology and application of online partial discharge monitoring for power equipments 5

Technology and application of online partial discharge monit...

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5th International Conference on Reliability of Electrical Products and Electrical Contacts, ICREPEC 2014

作者： Gao, Shengyou Gui, Junfeng Dept. of Elec. Eng. Tsinghua University State Key Lab. of Control and Simulation of Power Systems and Generation Equipments Beijing100084 China School of Electrical Engineering Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9789881532329

Online partial discharge monitoring for power equipments is useful to improve the capacity of the power supply. Main technology for PD testing is introduced in this paper. Advantages and disadvantages of pulse current, UHF, ultrasonic and TEV method are present. The status quo of online PD monitoring is analyzed, and the detection effect of online PD monitoring is not good. Opinions to improve the effect are given. They include built-in sensors, increasing sensitivity and sample rate. Analysis of the state quo indicates that the relevant technical standards and specifications must be revised to improve the normalization and standardization.

关键词： Partial discharges

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Obstacle Avoidance for Kinematically Redundant Robot

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IFAC-PapersOnLine 2015年第28期48卷 490-495页

作者： WANG, Xinyu YANG, Chenguang CHEN, Junshen MA, Hongbin LIU, Feng School of Automation Beijing Institute of Technology Beijing China State Key Lab of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China Centre for Robotics and Neural Systems Plymouth University Plymouth United Kingdom College of Automation Science and Engineering South China University of Technology Guangzhou China Beijing Jiaotong University Beijing China

Manipulator's obstacle avoidance is always a challenging topic in robotics. With the concern of the safety problems in human working environment, an improved obstacle avoidance method is proposed based on the general solution of the inverse kinematic problem of a redundant manipulator. A new obstacle detection method using Kinect R sensor is designed to give a robust obstacle information. By designing a parallel system of the manipulator, the proposed control method is not only to achieve the goal of moving away from the obstacle, but also able to guarantee the robot move back to its original pose. The stability of the closed-loop system is established using Lyapunov direct method to ensure the asymptotic stability of the system. The performance of the simulation results verifies the effectiveness of the proposed obstacle detection algorithm and the obstacle avoidance method. © 2015

关键词： Inverse problems Asymptotic stability Closed loop systems Collision avoidance Inverse kinematics Obstacle detectors Redundant manipulators System stability General solutions Inverse kinematic problems Kinematically Redundant Lyapunov direct method Obstacle detection Parallel system Redundant robot Working environment

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Tactile Sequence Based Object Categorization: A Bag of Features Modeled by Linear Dynamic System with Symmetric Transition Matrix

Tactile Sequence Based Object Categorization: A Bag of Featu...

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International Joint Conference on Neural Networks

作者： Haolin Yang Fuchun Sun Wenbing Huang Lele Cao Bin Fang State Key Lab. of Intelligent Technology and Systems Tsinghua National Lab. for Information Science and Technology Department of Computer Science and Technology Tsinghua University

ISBN: (纸本)9781509006212

In this paper, we propose a novel categorization framework to recognize tactile sequences based on two particular properties of the tactile data. For the first one, tactile sequences are spatio-temporal data which is sequential and dynamic, depicting the process of grasping an object in different grasping stages;therefore, it is reasonable to discover the dynamical pattern by modeling tactile data as integral sequences rather than individual frames. For the second one, a tactile sequence contains various dynamical patterns in different stages of the grasping process;therefore, we decompose the whole sequence into multiple mini-sequences so as to enhance feature resolution. To address both properties in our framework, we take advantage of a Bag-of-System model using parameters of the Linear Dynamic System (LDS) as feature descriptors. Moreover, we employ the LDS with Symmetric Transition matrix (LDSST) rather than the original LDS as the building-block in order to obtain accurate codewords of the codebook of the Bag-of-System. The performance of our framework is evaluated on six real-world databases of three groups. Our experiments show that classification using LDSST is better than the original LDS, and the decomposition of tactile sequences does improve the accuracy of classification. The experiment results also show the superiority of our framework in comparison with other state-of-the-art sequence classifiers.

关键词： S matrix Local Digital Switch Touch Frameworks Building blocks Dynamic systems Grasp codebook

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A Flight-Test Information Reasoning System Combining Textual CBR and RBR Approaches

A Flight-Test Information Reasoning System Combining Textual...

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7th International Conference on intelligent systems and Knowledge Engineering, ISKE 2012

作者： Yang, Bo Wang, Guodong Yao, Wentao State Key Laboratory of Intelligent Technology and Systems Tsinghua National Lab. for Information Science and Technology Dep. of Computer Science and Tech. Tsinghua University 100084 Beijing China Shenyang Aircraft Design and Research Institute 110031 Shenyang China

This paper presents a reasoning method based on the combination of Textual CBR and RBR to deal with the case described by the natural language with the intention of resolving the information retrieval in the flight-test procedure. Then experiments are made by using the reasoning system based on the method. The results show that not only could the method retrieve the cases from the system correctly, but also the Textual CBR procedure could complement the RBR procedure when the latter one cannot retrieve the case correctly. Thus the method could efficiently increase availab.lity of the reasoning system. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Case based reasoning

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Analysis of Takagi-Sugeno fuzzy models in system identification for model-based control

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control and intelligent systems 2004年第2期32卷 69-79页

作者： Lee, S. Yen, G.G. Sch. of Electrical and Comp. Eng. Intelligent Systems and Control Lab. Oklahoma State University Stillwater OK 74078 United States

This article analyzes Takagi-Sugeno (TS) fuzzy models in system identification for model-based controller design. TS fuzzy model-based controls have been proposed to overcome the long-standing criticism of lack of stability of fuzzy controls. However, the application of these controllers is limited as TS fuzzy models for controller design can only be obtained by transformation of nonlinear mathematical models. The proposal that fuzzy controls be used as control methods for uncertain systems has deviated from the original intention of fuzzy control. In this work, we investigate the possibility of extending TS fuzzy model-based control into uncertain systems. We show the limitation of these control methods and clarify the gap between fuzzy model based-control and fuzzy model identification. For the identification of constant-affine state-space models, a subspace identification algorithm is proposed to identify the true local dynamics with zero initial conditions.

关键词： Fuzzy control

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The DAO to Social Transportation: Towards Smart Mobility in Cyber-Physical-Social Space

The DAO to Social Transportation: Towards Smart Mobility in ...

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IEEE International Conference on systems, Man and Cybernetics

作者： Yuanyuan Chen Yisheng Lv Fei-Yue Wang State Key Lab. of Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Institute of Automation Beijing China State Key Lab. for Management and Control of Complex Systems Chinese Academy of Sciences Beijing China

The rapid advancement of intelligence and connectivity technology (ICT) has enhanced the efficiency and safety of intelligent transportation systems (ITS). However, this also increases the complexity of the transportation systems, especially the social complexity, and poses new challenges for their management. This paper discusses the emergence of social transportation, as part of natural evolutionary adaptation to new traffic conditions and technology, which is a paradigm shift from engineering-centered technical systems to society-centered ecosystems. In social transportation systems, all participants including administrators, individual travelers and other stakeholders play a more proactive role in the operation and management of transportation systems. Therefore, we propose to employ a decen-tralized autonomous organization (DAO) as a model for the social transportation system that allows participants to collab.rate and coordinate without relying on a central authority. To meet the challenges brought by this transition, we propose to apply ACP-based parallel system theory to restructure the methodology of transportation management. Finally, we present a case study of personal carbon trading system where economic incentives are used to manage traffic demand, affecting others' travel behaviors, and reduce carbon emissions. In the conclusive remarks, we provide our visions and future directions of social transportation systems.

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Vision based ping-pong ball tracking with physical model

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Journal of Information and Computational Science 2008年第5期5卷 2235-2242页

作者： Liu, Yong Xiong, Rong Zhang, Yifeng Chu, Jian State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou 310027 China Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

This paper proposes a novel vision based ping-pong (table tennis) ball tracking system. And it can generate the ping-pong ball trace in real time with the aiding of a transcendent trace model. Our approach only need three high speed digital cameras, which could cover whole the ball flight trace and decrease the cost of the tracking system. Our tracking system sets up a theoretical ping-pong ball trace model, and then a Kalman filter method is used to fuse the final trace with the data from three cameras based on the trace model. The experiment results show our system could track the ping-pong ball reasonably and generate the smooth trace of the ping-pong ball in real time. 1548-7741/Copyright © 2008 Binary Information Press October 2008.

关键词： Tracking (position)

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A new textual/non-textual classifier for document skew correction

Proceedings - International Conference on Pattern Recognitio...

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Proceedings - International Conference on Pattern Recognition 2002年第1期16卷 480-482页

作者： Xiaoyan, Zhu Xiaoxin, Yin IEEE State Key Lab. of Intelligent Tech. and Systems Dept. of Computer Science and Technology Tsinghua University Beijing 100084 China

A robust approach is proposed for document skew detection. We use Fourier analysis and SVM to classify textual areas from non-textual areas of documents. We also propose a robust method to determine the skew angle from textual areas. Our approach achieves good performance on documents with large area of non-textual contents. © 2002 IEEE.

关键词： Classification (of information)

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