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GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

作者： Chengqun Wang Jiming Chen Youxian Sun Xuemin Shen State Key Laboratory of Industrial Control Technology University of Zhejiang Hangzhou China Department of Electrical and Computer Engineering University of Waterloo Waterloo ONT Canada

Wireless sensor location estimation is an important area and attracts considerable research interests. In this paper, we present a novel graph embedding method for the localization problem by using signal strengths. We view the wireless sensor nodes as a group of distributed devices, and employ an appropriate kernel function to measure the similarity between sensors. The kernel function can be naturally defined according to the signal strength matrix. Then we formulate the localization problem as a graph embedding problem. Finally, we use the kernel locality preserving projection (KLPP) technique to estimate the relative locations of all sensor nodes. Given sufficient number of anchors, the relative locations can be transformed into physical locations. The main advantage of formulating the localization problem as graph embedding problem is that it allows us to construct a graph to preserve the topological structure of the sensor networks. We evaluate our method based on various network topologies, and analyze its performance. We also compare our method with several existing methods, and demonstrate the high efficiency of our proposed method.

关键词： Wireless sensor networks Kernel Principal component analysis Monitoring Manifolds industrial control Sun State estimation Network topology Performance analysis

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Networked Ultrasonic Sensors for Target Tracking: An Experimental Study

Networked Ultrasonic Sensors for Target Tracking: An Experim...

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GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

作者： Hongbin Li Di Miao Jiming Chen Youxian Sun Xuemin Shen State Key Laboratory of Industrial Control Technology University of Zhejiang Hangzhou China Department of Electrical and Computer Engineering University of Waterloo Waterloo ONT Canada

As an emerging application, tracking mobile targets using distributed and networked sensors is gaining noticeable attentions in recent years. In this paper, we utilize ultrasonic sensors, which are traditionally viewed as basic ranging components, to build a target detection and tracking system. An integrated sensor node, with one communication/computation module, one Passive InfraRed (PIR) module and three ultrasonic modules, is designed to support local detection/ranging, data filtering and result reporting. Comprised of a set of the designed sensor nodes, our system is able to track the position of a dynamic target, using Extended Kalman Filter. Simulations and experimental results are given to evaluate performance bound and demonstrate the efficiency of our system.

关键词： Target tracking Sensor systems Infrared sensors Infrared detectors Object detection Mobile communication Optical computing Optical fiber communication Passive filters Filtering

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On parameter estimation of the Schwartz-Smith short-term/long-term model

On parameter estimation of the Schwartz-Smith short-term/lon...

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Asian control Conference

作者： Xin Tai Minyue Fu State Key Laboratory of Industrial Control Technology University of Zhejiang China School of Electrical Engineering and Computer Science University of Newcastle Callaghan NSW Australia

The short-term/long-term model proposed by Schwartz and Smith in 2000 is widely used in modeling commodity prices. A key and nontrivial problem in this modeling technique is how to estimate the model parameters. This paper considers the parameter estimation problem based on the maximum likelihood criterion and proposes a method to simplify the task. Two components are contained in the proposed method: one to do with re-parametrization and one to do with separating the parameter set so that one part can be solved directly using least-squares and another part using nonlinear optimization. The effectiveness of the proposed method is demonstrated via numerical tests.

关键词： Parameter estimation Maximum likelihood estimation Optimization methods Testing Petroleum Stochastic processes Copper Computational complexity control system synthesis industrial control

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Iterative Learning control with High-Order Internal Model for Linear Time-Varying Systems

Iterative Learning Control with High-Order Internal Model fo...

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2009 American control Conference (ACC 2009)

作者： Chunping Liu Jianxin Xu Jun Wu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China Department of Electrical and Computer Engineering National University of Singapore 117576 Singapore

ISBN: (纸本)9781424445233

In this work we focus on iterative learning control (ILC) for iteratively varying reference trajectories which are described by a high-order internal model. The high-order internal model (HOIM) is formulated as a polynomial between two consecutive iterations. The classical ILC with iteratively invariant reference trajectories, on the other hand, is a special case of HOIM where the polynomial renders to a unity coefficient, in other words, the 0th order internal model. By inserting the polynomial (HOIM) into the past control input of the ILC law, and designing appropriate learning control gains, the learning convergence in the iteration axis can be guaranteed for continuous-time linear time varying (LTV) systems. The initial condition, P-type and D-type ILC, and possible extension to nonlinear cases are also explored.

关键词： Time varying systems Polynomials Convergence control systems Iterative methods Process design Time domain analysis Design methodology Transient response Trajectory

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Mixed μ Robust Finite Word Length controller Design

Mixed μ Robust Finite Word Length Controller Design

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Jun Wu Gang Li Sheng Chen Jian Chu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang University the College of Information Engineering Zhejiang University of Technology School of Electronics and Computer Science University of Southampton

A novel finite word length(FWL) controller design is developed in the framework of mixed μ theory.A robust FWL controller performance measure is proposed which takes into account the standard robust control requirements as well as the FWL implementation considerations, and the corresponding FWL robust controller design problem is naturally reformulated as a mixed μ problem which can be treated effectively with the results of mixed μ theory.

关键词： ERK Mixed Robust Finite Word Length controller Design controller

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Design of Petri net-based deadlock prevention controllers for flexible manufacturing systems

Design of Petri net-based deadlock prevention controllers fo...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Guoqiang Zeng Weimin Wu MengChu Zhou Weijie Mao Hongye Su Jian Chu State Key Laboratory of Industrial Control Technology & Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

This paper presents a novel method to design Petri net-based deadlock prevention controllers for flexible manufacturing systems. It starts from the computation of the complete deadlock markings by utilizing the conservativeness property of a Petri net model and the necessary and sufficient condition for deadlock. Then, it verifies a small state space including the dangerous and bad markings only by combining one-step look-forward through the original net and one-step look-backward via its reverse net. Subsequently, it defines the set of place invariants from the subset of marked operation places for the so called ¿elementary controlled bad markings¿. Finally, it synthesizes a deadlock prevention controller by a simplified invariant-based method. Its obtained deadlock-free controller allows more behavior of the closed-loop system than those obtained via a siphon-based control method. Its computational efficiency is higher than those based on a complete reachability graph-based control method.

关键词： System recovery control systems Flexible manufacturing systems Design methodology Sufficient conditions State-space methods control system synthesis Computational efficiency Cybernetics USA Councils

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Iterative Learning control for Network Systems with Communication Delay or Data Dropout

Iterative Learning Control for Network Systems with Communic...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Chunping Liu Jianxin Xu Jun Wu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang University Department of Mechatronics Engineering Shaoxing College of Arts and Sciences Department of Electrical and Computer Engineering National University of Singapore Hangzhou Qian Jiang expert SUPCON Technology Co.Ltd.SUPCON Park

In this paper,iterative learning control(ILC) is applied to network-based control problems in which communication channels are subject to random transport delay and data *** averaging ILC algorithm is used to overcome the random *** analysis,it is shown that ILC can perform well and achieve asymptotical convergence in ensemble average along the iteration axis,as far as the probability of the transmission delay and data dropout are known a priori.A unique contribution in this work is to illustrate the applicability of ILC to nonlinear systems while both the one-step delay and the data-dropout phenomena are taken into *** analysis and simulations validate the effectiveness of the ILC algorithm for network-based control tasks.

关键词： ILC Iterative Learning control for Network Systems with Communication Delay or Data Dropout dropout

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Performance-aware power management in embedded controllers with multiple-voltage processors

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Information Technology Journal 2008年第6期7卷 942-947页

作者： Xia, Feng Liu, Liping Ma, Longhua Sun, Youxian Dong, Jinxiang College of Computer Science and Technology Zhejiang University Hangzhou 310027 China School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China State Key Lab of Industrial Control Technology Zhejiang University Hangzhou 310027 China Faculty of Information Technology Queensland University of Technology Brisbane QLD 4001 Australia

The aim of this research is to minimize the energy dissipation of embedded controllers without jeopardizing the Quality of control (QoC). Taking advantage of the Dynamic Voltage Scaling (DVS) technology, this study develops a performance-aware power management scheme for embedded controllers with processors that allow multiple voltage levels. The periods of control tasks are adapted online with respect to the current QoC, thus facilitating additional energy reduction over standard DVS. To avoid the waste of CPU resources as a result of the discrete voltage levels, a resource reclaiming mechanism is employed to maximize the CPU utilization and also to improve the QoC Simulations are conducted to evaluate the performance of the proposed scheme. Compared with the optimal standard DVS scheme, the proposed scheme is shown to be able to save remarkably more energy while maintaining comparable QoC. © 2008 Asian Network for Scientific Information.

关键词： Real time control

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Developments and applications of nonlinear principal component analysis - a review

Developments and applications of nonlinear principal compone...

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作者： Kruger, Uwe Zhang, Junping Xie, Lei School of Electronics Electrical Engineering and Computer Science Queen's University Belfast BT9 5AH United Kingdom Department of Computer Science and Engineering Fudan University Shanghai 200433 China National Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9783540737490

Although linear principal component analysis (PCA) originates from the work of Sylvester [67] and Pearson [51], the development of nonlinear counterparts has only received attention from the 1980s. Work on nonlinear PCA, or NLPCA, can be divided into the utilization of autoassociative neural networks, principal curves and manifolds, kernel approaches or the combination of these approaches. This article reviews existing algorithmic work, shows how a given data set can be examined to determine whether a conceptually more demanding NLPCA model is required and lists developments of NLPCA algorithms. Finally, the paper outlines problem areas and challenges that require future work to mature the NLPCA research field.

关键词： Principal component analysis

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Fuzzy Sliding Mode control for Robot Based on Passivity Theory

Fuzzy Sliding Mode Control for Robot Based on Passivity Theo...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Xiuling Liu Zhanfang Feng Hongrui Wang Yudong Feng Department of Electronic and Informational Engineering Hebei University Baoding Hebei China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University슠 Qinhuangdao Hebei China

A novel control strategy based on passivity theory was proposed with special attention to trajectory tracking and robust control of rigid robot. In this paper, robot model was divided into nominal model and uncertainty part. Based on the backstepping approach, feedback passivity was used to design controller for the nominal model. A variable structure concentrated compensation controller was adopted to the uncertainty part. Using fuzzy rules, a fuzzy system based on nominal model controller and sliding mode variable structure controller was built to eliminate chattering effectively. Simulation results show that the scheme can achieve tracking effect with high speed, as well as enhance the robustness of the system under the condition of existing model error and external disturbance, and the global stability can be also guaranteed.

关键词： Fuzzy control Sliding mode control Robots Uncertainty Fuzzy systems Robust stability Trajectory Robust control Backstepping Feedback

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