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1st Joint Symposium on Computer-Aided control system Design, CACSD 2011 and systems with Uncertainty, SU 2011

作者： Soleimanzadeh, Maryam Brand, Arno J. Wisniewski, Rafael Automation and Control Section Electronic System Department Aalborg University Denmark Netherlands

ISBN: (纸本)9781457710667

This paper describes the design procedure of an optimal wind farm controller. The controller optimizes the structural load and power production simultaneously, on the basis of an analytical wind farm model. The farm model delivers maps of wind, loads and energy in the wind farm. Moreover, the model computes the wind speed at the turbines, turbine bending moments and aerodynamic power and torque. The optimal control problem is formulated based on the model for two different wind directions. The controller determines the reference signals for each individual wind turbine controller in two scenarios based on low and high wind speed. In low wind speed, the reference signals for rotor speed are adjusted, taking the trade-off between power maximization and load minimization into account. In high wind speed, the power and pitch angle reference signals are determined while structural loads are minimized. © 2011 IEEE.

关键词： controllers

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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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Extending CSP to detect motor imagery in a four-class BCI

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Journal of Information and Computational Science 2012年第1期9卷 143-151页

作者： Fang, Yonghui Chen, Minyou Zheng, Xufei Harrison, R.F. State Key Laboratory of Power Transmission Equipment and System Security New Technology Chongqing University Chongqing 400044 China School of Electronic and Information Engineering Southwest University Chongqing 400715 China College of Computer Science Sichuan University Chengdu 610065 China Department of Automatic Control and Systems Engineering University of Sheffield United Kingdom

Brain Computer Interface (BCI) provides a direct communication channel from brain to peripheral equipment. Common Spatial Patterns (CSP) is wildly used to extract features for electroencephalogram (EEG). However, basic CSP only suits two-class discrimination and is unable to solve multi-class discrimination problems. This paper proposes a modified CSP method termed Bisearch Common Spatial Patterns (BCSP) to solve a four-class BCI problem. In BCSP, the Fisher's Linear Discriminant Analysis (LDA) is used to discriminate among the four motor imagery tasks. The BCSP can effectively reduce the number of the basic CSP, and thus makes the overall classification procedure more efficient. The Graz BCI data set from the BCI 2008 competition be used to verify the effectiveness of the BCSP. Simulation results show that BCSP has better performance than other extension schemes. © 2012 Binary Information Press January 2012.

关键词： Brain computer interface

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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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Feature extraction of motor imagery in BCI with approximate entropy

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Journal of Computational Information systems 2012年第6期8卷 2485-2491页

作者： Fang, Yonghui Chen, Minyou Zheng, Xufei Harrison, Robert F State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Chongqing 400044 China School of Electronic and Information Engineering Southwest University Chongqing 400715 China College of Computer Science Sichuan University Chengdu 610065 China Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom

Approximate Entropy (ApEn) is a regularity statistic that quantifies the unpredictability of fluctuations in a time series and can classify complex systems. This study, ApEn is used to extract features from motor imagery Electroencephalogram (EEC) that containing two motor imagery tasks. This method is different from the traditional way to get the character from EEC. Appropriate parameters must been chosen for different dataset. Two datasets are used in this paper. One comes from BCI Competion2003, the other from the lab of Electromagnetic theory and artincal intelligence, Chongqing University. The results show that ApEn can extract different features in left-hand and right-hand motor imagery EEC efficiently. Comparison between ApEn and Fast Fourier Transform (FFT) shows that ApEn has good capability to the two imagery tasks Brain Computer Interface. © 2012 Binary Information Press.

关键词： Electroencephalography

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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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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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Cooperative effect analysis of manned/unmanned aerial vehicle team based on fuzzy cognition map

Cooperative effect analysis of manned/unmanned aerial vehicl...

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2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011

作者： Chen, Jun Gao, Xiaoguang Yu, Guanhua Department of System and Control Engineering School of Electronics and Information Northwestern Polytechnical University Xi'an China Department of Automation School of Electronic Information and Electrical Engineering ShangHai Jiao Tong University Shanghai China

ISBN: (纸本)9781457708947

At present, the cooperative operation pattern of manned/unmanned aerial vehicle team has became a focus of international research. To assessment the cooperative effect of manned/unmanned aerial vehicle team, some influential factors are analyzed and a analysis model of cooperative effect is built based on fuzzy cognitive map(FCM). From simulation results, this model can realize organic integration between expert knowledge and quantitative calculation. Through mapping the influential factors with concept nodes of FCM, the dynamic change of cooperative effect can be described more directly. © 2011 IEEE.

关键词： Antennas

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