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International Conference on Wireless Communications and Signal Processing

作者： Pengyuan Du Lujin Luo Yongsen Ma Chengnian Long Dept. of Electronic Engineering Shanghai Jiao Tong University Dept. of Automation Shanghai Jiao Tong University Key Lab. of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467358309

In the GSM-R (GSM for Railways) mobility management technology, handover is the crucial factor to maintain high reliability and validity of mobile communication. However in high-speed movement scenario where shorter handover latency is required, the traditional handover scheme which has been adopted in the GSM network could no longer guarantee high quality performance and results in higher probability of handover failure as a consequence. In order to solve such problem, we propose an innovative handover scheme based on dual-antenna technology for GSM-R network. The proposed scheme modulates the frame structure of Traffic Channel (TCH) in order to send measurement report more quickly and adopts more complicated signaling procedure to achieve seamless handover. Simulation results show that interruption time in the proposed scheme is effectively reduced compared with the conventional handover scheme and call dropping rate is also acceptable when the train speed achieves 500km/h. Therefore the proposed dual-antenna handover scheme guarantees better service quality in high-speed scenario.

关键词： Dual-antenna Based Handover

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Distributed multi-agent Q-learning for joint channel allocation and power control in cognitive radio networks

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Journal of Computational Information systems 2012年第17期8卷 7071-7078页

作者： Boumediene, Latifa Gao, Zhenguo Liu, Sheng College of Automation Harbin Engineering University Harbin 150001 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China State Key Lab. for Novel Software Technology Nanjing University Nanjing 210093 China

This paper deals with the resource allocation in completely distributed cognitive radio network. We propose a form of real-time multi-agent distributed reinforcement learning, which is known as Q-learning, to allow the cognitive radio to predict its transmit power and channel, in order for achieving a high quality of service without affecting the primary users. Simulation results reveal that the proposed approach is able to significantly reduce the interference to the licensed users while maintaining a high probability of successful transmission in a cognitive radio ad-hoc network. © 2012 Binary Information Press.

关键词： Cognitive radio

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Stochastic stability of genetic regulatory networks with multiple time-varying delays

Stochastic stability of genetic regulatory networks with mul...

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International Conference on Advanced Mechatronic systems (ICAMechS)

作者： Yan Wang Hong Wang Linkun Wang School of Automation Science and Electrical Engineering Beihang University Beijing P. R. China Control System Center The University of Manchester Manchester UK Instrumentation Technology & Economy Institute Beijing P. R. China

This paper investigates the stochastic stability problem of genetic regulatory networks (GRNs) with multiple time-varying delays. Most of the results on the stability of GRNs with delays are based on a model in which the delays of the transcription and translation processes for each gene product take the same value. In this paper, we generalized the model to a differential equation with multiple time-varying delays. Sufficient conditions for the stochastic stability of the GRNs with stochastic noise are obtained. Finally, a simulation example is given to show the effectiveness of the proposed results.

关键词： Biological system modeling Delay Equations Mathematical model

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Adaptive generalized predictive decoupling control for a class of MIMO nonlinear systems based on unmodeled dynamic compensation

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Kongzhi Lilun Yu Yingyong/control Theory and Applications 2012年第2期29卷 157-166页

作者： Zhang, Ya-Jun Chai, Tian-You Wang, Hong Niu, Hong The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang Liaoning 110004 China Research Center of Automation Northeastern University Shenyang Liaoning 110004 China The Control Systems Centre School of Electrical and Electronic Engineering University of Manchester M60 1QD United Kingdom Institute of System Science Northeastern University Shenyang Liaoning 110004 China

For a class of uncertain multi-input-multi-output (MIMO) discrete-time nonlinear systems with strong coupling and unstable zero-dynamics, an adaptive generalized predictive decoupling switching control method based on unmodeled dynamic compensation is proposed. It is only required that the higher order nonlinear terms of the system to satisfy a linear growth condition, rather than the global boundedness condition widely used. The analysis of stability and convergence of the adaptive control method are performed. Moreover, in designing the nonlinear generalized predictive decoupling controller, we combine the adaptive-network-based fuzzy inference system (ANFIS) training with the "one-toone mapping" technique to adaptively estimate the unmodeled dynamics, so that the universal approximation property of ANFIS can be guaranteed. Finally, simulation results demonstrate the superiority of the proposed method and validate the theoretical analysis.

关键词： Nonlinear systems

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Distributed Finite-time Cooperative Tracking of Networked Lagrange systems via Local Interactions

Distributed Finite-time Cooperative Tracking of Networked La...

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American control Conference

作者： Ziyang Meng Zongli Lin Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904-4743 USA

ISBN: (纸本)9781457710957

This paper studies the finite-time cooperative tracking problem for networked Lagrange systems with a time-varying leader's generalized coordinate derivative. First, a finite-time state feedback control protocol is proposed for each follower by using only local information, under which the states of the followers are shown to converge to those of the leader in finite time. The results of the static feedback design are then extended to those of the dynamic feedback design. The finite-time cooperative tracking problem of networked Lagrange systems over a directed switching communication topology is proposed. With the help of a so-called finite-time consensus-based observer, we show that cooperative tracking of networked Lagrange systems can be achieved in finite time if the leader has directed information paths to each follower at each time instant and the control parameters satisfy certain conditions.

关键词： Lagrange Mentoring tracking problem local information. control parameter

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On Global Consensus of Linear Multi-agent systems Subject to Input Saturation

On Global Consensus of Linear Multi-agent Systems Subject to...

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American control Conference

作者： Ziyang Meng Zhiyun Zhao Zongli Lin Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904-4743 USA

ISBN: (纸本)9781457710957

This paper studies the leader-following consensus problem for a group of agents with identical linear systems subject to control input saturation. We focus on two classes of linear systems, neutrally stable systems and double integrator systems. For neurally stable systems, we establish that global consensus can be achieved by linear local feedback laws over an undirected fixed or a switching communication topology. For double integrator systems, we establish that global consensus can be achieved by linear local feedback laws over a fixed communication topology and, with the help of a simple saturation function in the local feedback laws, global consensus can also be achieved over a switching undirected topology. Simulation results illustrate the theoretical results.

关键词： Lead Topology Switches Multiagent systems Linear systems Trajectory

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Adaptive Variable Selection Using Nonnegative Garrote with Application to Soft Sensor and Fault Detection

Adaptive Variable Selection Using Nonnegative Garrote with A...

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第23届过程控制会议

作者： Jian-guo Wang Chang-Chun Pan Shi-Shang Jang David Shan-Hill Wong Shyan-Shu Shieh Chan-Wei Wu School of Mechatronical Engineering and Automation Shanghai University and Shanghai Key Labof Power Station Automation Technology Shanghai 200072 China Department of Automation and Key Laboratory of System Control and Information Processing Ministry ofEducation of China Shanghai Jiao Tong University Shanghai 200240 China Department of Chemical Engineering National Tsing-Hua University Hsin-Chu 30013 Taiwan Department of Occupational Safety and Hygiene Chang Jung University Tainan 71101 Taiwan Energy & Air Pollution Control Section New Materials R&D Dept. China Steel Corporation Kaohsiung 81233 Taiwan

ring normal operations, response or quality variables of a process will follow a input-output relation that depend on certain key sensor variables. A soft-sensor with limited model size can be developed. When the process enters into a “faulty” state, the structure, of this model may change. Moreover, disturbance that is not reflected by sensor outputs may also be present. In this paper, we introduce a recursive soft-sensor modeling algorithm which employs a nonnegative garrote (NNG) variable selection procedure. This model can be used for both prediction, and detection of structural model change and the emergence of disturbance. The advantages of the proposed method were demonstrated by a simulation example and an industrial application to temperature prediction of a blast furnace hearth.

关键词： NNG(nonnegative garrote) Soft sensor Fault detection

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Adaptive variable selection using non-negative garrote with application to soft sensor and fault detection

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2012年第SUPPL.2期36卷 82-86页

作者： Wang, Jian-Guo Guo, Yong Ma, Shi-Wei Pan, Chang-Chun Jang, Shi-Shang Wong, David Shan-Hill School of Mechatronical Engineering and Automation Shanghai Key Lab. of Power Station Automation Technology Shanghai University Shanghai 200072 China Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai 200240 China Department of Chemical Engineering National Tsing-Hua University Taiwan 30013 Taiwan

In order to improve the function of soft sensor to conduct variable selection, fault detection and model structure identification in the case of faulty state, a design method of new soft sensor is studied though the variable selection algorithm. A non-stationary time serial is introduced to describe the process output not being reflected by sensor variables and to detect whether the process enters the faulty state. A non-negative garrote method is adopted to identify the model structure and a modeling method for new soft sensors is presented. The obtained model can be used for both prediction, and detection of structural model change and the emergence of disturbance. Compared with the ordinary soft sensor based on partial least square algorithm, the advantages of the proposed method are demonstrated by a simulation example and an industrial application to temperature prediction of a blast furnace hearth.

关键词： Fault detection

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Forward modeling of infinitesimal dipole dipping effects in marine CSEM survey

Forward modeling of infinitesimal dipole dipping effects in ...

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2011 International Conference on Electrical engineering and Informatics, ICEEI 2011

作者： Hussain, Nazabat Karsiti, M.N. Yahya, Norashikin Burhanuddin, Zainal A. Automation and Control System Group Department of Electrical and Electronic Engineering Universiti Teknologi PETRONAS Bandar Seri Iskandar 31750 Tronoh Perak Malaysia

ISBN: (纸本)9781457707520

This paper present numerical modeling of infinitesimal dipole for the purpose of finding irregularities in real time survey data of marine controlled source electromagnetic survey. Algorithm for numerical solution using staggered grid scheme of finite difference method has been developed by using auxiliary potential functions in Helmholtz equation. Solution is obtained through a) discretized the solution region into number of elements and define boundary condition b) implementing algorithm for resulting system of linear algebraic equations. The results provides detailed understanding of irregularities in survey data caused by improper orientation of source during electromagnetic sounding for exploration of petroleum reserves in deep sea. © 2011 IEEE.

关键词： Numerical models

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Mapping of hydrocarbon with marine em method using 2-D forward modeling

Mapping of hydrocarbon with marine em method using 2-D forwa...

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International Conference on Modeling, Simulation and Applied Optimization

ISBN: (纸本)9781457700057

This paper present two-dimensional forward modeling of marine controlled-source electromagnetic data for the purpose of hydrocarbon mapping. The forward algorithm employs a staggered-grid finite difference solution to the total-electric field Helmholtz equation. Solution are achieved through a) an optimal grid technique that extends the boundaries of the mesh outward from the region of interest using a minimal number of nodes, and b) a direct matrix solution technique that allows for the simultaneous solution for all sources. The forward modeling provides qualitative understanding of electromagnetic signals behavior as it propagates through hydrocarbon and conductive saline fluids bearing layers at depth. © 2011 IEEE.

关键词： Hydrocarbons

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