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International Conference on computer engineering and Technology, ICCET

作者： Kai Chi Wen-Gang Che Fang-Ping Fu Ming-Kun Zhuo School of Information Engineering and Automation Kunming University of Science and Technology Kunming China Key Laboratory of Computer Technology and Application of Yunnan Province Kunming University of Science and Technology Kunming China

This article has been retracted by the publisher.

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Notice of Retraction: A Modified Model of Fuzzy Time Series for Forecasting Exchange Rates

Notice of Retraction: A Modified Model of Fuzzy Time Series ...

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International Workshop on Education Technology and computer science, ETCS

作者： Kai Chi Fang-Ping Fu Wen-Gang Che School of Information Engineering and Automation Kunming University of Science and Technology Kunming China Key Laboratory of Computer Technology and Application of Yunnan Province Kunming University of Science and Technology Kunming China

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Bearings-only multi-sensor multi-target tracking based on rao-blackwellized Monte Carlo data association

Bearings-only multi-sensor multi-target tracking based on ra...

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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)9787894631046

This paper addresses the problem of tracking multiple targets using multi-sensor bearings-only measurements in the presence of noise and clutter. The Rao-Blackwellized Monte Carlo data association (RBMCDA) scheme and the unscented Kalman filter (UKF) are applied to solve the problems of uncertain association and nonlinear filtering, respectively. In particular, the sensors are assumed to move back and forth alternately. Simulation results show that the filtering algorithm produces reliable position estimates under single and multiple tracking scenarios.

关键词： Kalman filters

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Model matching control for MIMO systems with multiple time delays and its applications in adaptive scheme

Model matching control for MIMO systems with multiple time d...

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作者： Su, Haixia 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)9781424474264

This paper considers the model matching problem of multiple-input multiple-output(MIMO) systems with multiple time delays. The reference model is chosen to be the diagonal delay transfer function matrix. A controller is designed for nominal systems. Furthermore, an adaptive control scheme is proposed for uncertain systems with parameter variation. The resulting scheme can guarantee the global stability of the closed-loop systems and the convergence of the tracking errors. A simulation example is included to illustrate the proposed scheme. © 2010 AACC.

关键词： Closed loop systems

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Editorial Special issue on approximate dynamic programming and reinforcement learning

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控制理论与应用（英文版） 2011年第3期 309-309页

作者： Silvia Ferrari Jagannathan Sarangapani Frank L. Lewis Laboratory for Intelligent Systems and Control(LISC)Department of Mechanical Engineering & Materials Science Box 90300 Duke University Durham NC 27708-0005 Department of Electrical & Computer Engineering University of Missouri-Rolla MO 65401 U.S.A. Automation and Robotics Research Institute The University of Texas at Arlington 7300 Jack Newell Blvd. S Ft. Worth Texas 76118-7115 U.S.A.

We are extremely pleased to present this special issue of the Journal of Control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain environments over *** optimizes the sensing objectives accrued over a future time interval with respect to an adaptive control law,conditioned on prior knowledge of the system,its state,and uncertainties.A numerical search over the present value of the control minimizes a Hamilton-Jacobi-Bellman (HJB) equation providing a basis for real-time,approximate optimal control.

关键词： reinforcement learning dynamic programming optimal control effective approach prior knowledge Control Theory real-time control law problems special search future ADP basis

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Non-fragile control for trajectory tracking of nonholonomic mobile robots

Non-fragile control for trajectory tracking of nonholonomic ...

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作者： Ni, Na 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)9781424474264

This paper is devoted to the non-fragile controller design for the trajectory tracking of nonholonomic mobile robots. Using non-linear state feedback and proper coordinate transformation, the model of nonholonomic mobile robots is exactly linearized. Based on which, the non-fragile controller is designed by employing the linear matrix inequality (LMI) approach. Simulation examples are included to illustrate the effectiveness of the proposed controller. © 2010 AACC.

关键词： Controllers

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To determine neighborhoods in ultrasound image denoising

To determine neighborhoods in ultrasound image denoising

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International Conference on Machine Learning and Cybernetics

作者： Liao, Zhiwu Hu, Shaoxiang Wang, Jianjun Yu, Zhiqiang Visual Computing and Virtual Reality Key Laboratory of Sichuan Province Sichuan Normal University Chengdu China School of Computer Science Sichuan Normal University Chengdu China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Chinese Flight Test Establishment Xi'an China Chengdu Aircraft Industrial Co. Ltd. Chengdu China

ISBN: (纸本)9781424465262

Ultrasound images are effected by serious noises. In this paper, we propose an adaptive method by determining a variable neighborhood of each pixel in ultrasound image denoising. The real neighbors of a pixel can be chosen according to the local energy of the pixel, the distance between the pixel and its close pixels, the requirement of reliable estimate. All of the real neighbors of a pixel form a neighborhood, named the real neighborhood (RN) of the pixel. The RN s can preserve edges and obtain reliable estimates simultaneously, which can not be met at the same time and becomes a tradeoff problem in existing methods. The experiments also show better performance both in denoising and edges preserving than the state-of-art techniques. © 2010 IEEE.

关键词： Pixels

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Control for discrete-time singularly perturbed systems with distributional properties

Control for discrete-time singularly perturbed systems with ...

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作者： Wang, Guoliang Zhang, Qingling Bian, Chuanxin Sreeram, Victor Institute of Systems Science Liaoning Province 110004 China Key Laboratory of integrated Automation of Process industry Ministry of Education Northeastern University Shenyang Liaoning Province 110004 China Department of Electrical and Electrical Electronic and Computer Engineering University of Vestern Australia 35 Stirling Highway Crawley. WA Australia 6009 Australia

In this paper, the H∞ control problem for discrete-time singularly perturbed systems (DSPSs) with distributonal probabilities is considered. Compared with traditional DSPSs there are two main differences. The first is the singularly perturbation parameter in our model may be in different intervals instead of a deterministic interval. The second is the occurrence between two DSPSs is random. Via using a stochastic varahlr satisfying some probabilistic property with known probability distribution. for the first time DSPSs switching stochastically are modeled into a new type of DSPSs with stochastic parameter matrices. Mean-square eiponrntial stablity condition where the bound of Ε can he checked is prrsented via a new approach. Basrd on the derived criterion, however, an Ε-independent switching controller satisfying H∞ performance is given in terms of linear matrix inequalities (LMIs) with equality constraints. An effective algorithm involving LMIs is suggested to solve the matrix inequalities characterizing the controller solutions. Finally illustrative examples are presented to show the benefits and the validity of the proposed approaches. © 2010 ISSN.

关键词： Probability distributions

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Analysis of two robust learning control schemes in the presence of random iteration-varying noise

Analysis of two robust learning control schemes in the prese...

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作者： Meng, Deyuan Jia, Yingmin Du, Junping Yu, Fashan Beijing 100191 China Ministry of Education Beijing 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)9781424474264

This paper deals with the design problem of robust iterative learning control (ILC), in the presence of noise that is varying randomly from iteration to iteration. Two ILC schemes are considered: one adopts the previous iteration tracking error (PITE) and the other adopts the current iteration tracking error (CITE), in the updating law. For both schemes, the convergence results are obtained by using a frequency-domain approach, and a comparison between them is presented from the viewpoints of the convergence condition, robustness against plant uncertainty, and delay compensation. It shows that sufficient conditions can be derived to bound the tracking error and make its expectation monotonically convergent in the sense of L2-norm, which work effectively with robustness for all admissible plant uncertainties. Furthermore, the sufficient conditions for both schemes can also be formulated in terms of two complementary functions, which do not depend on the delay time as well as the plant uncertainty and, thus, make them convenient to be checked and solved using the frequency-domain tools. Numerical simulations are included to illustrate the effectiveness of the two proposed ILC schemes. © 2010 AACC.

关键词： Two term control systems

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Entity answer extraction and homepage recognition

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Journal of Information and Computational science 2010年第1期7卷 277-283页

作者： Xian, Yantuan Yu, Zhengtao Xu, Yangbo Li, Lina Zou, Junjie Guo, Jianyi School of Information Engineering and Automation Kunming University of Science and Technology Kunming 650051 China Institute of Intelligent Information Processing Computer Technology Application Key Laboratory of Yunnan Province Kunming 650051 China

This paper proposed a method for entity answer extraction, which examined three levels of relevance, including document, passage and entity. The entity answer extraction system and homepage recognition are also described in detail. The results on TRECT 2009 test topics show the effectiveness of our approaches. Accuracy of entity answer extraction reaches 88.93% and accuracy of entity homepage recognition is 91.15%. Copyright © 2010 Binary Information Press.

关键词： Extraction

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