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2011 American control Conference (ACC)

作者： Yunze Cai Hua O. Wang Kazuo Tanaka Xiaoming Xu Department of Mechanical Engineering Boston University Boston MA USA Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China Department of Mechanical Systems and Intelligent Systems University of Electro-Communications Tokyo Japan Department of Automation Shanghai Jiaotong University Shanghai China University of Shanghai for Science and Technology Shanghai China

This paper addresses a robust H_(infinity) filtering problem for networked systems that are subject to both random transmission delays and packet dropouts. To start with, a data transmission model is established by employing random series with Bernoulli distributions. A sufficient condition for robust stability with H_(infinity) constraints is derived for the filtering error system. The robust filter is designed in terms of the feasibility of a linear matrix inequality (LMI). The numerical examples are provided to show the effectiveness of the data transmission model and the proposed filtering method.

关键词： Delay Filtering Robustness Data models Symmetric matrices Hidden Markov models Markov processes

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Guest Editorial

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IEEE Transactions on Industrial Electronics 2011年第4期58卷 1074-1080页

作者： Marco Liserre Josep Balcells Thomas Basso Jan T. Bialasiewicz Carlo Cecati Sudipta Chakraborty Josep M. Guerrero Mehrdad Kazerani Friederich Kupzog Adel Nasiri Peter Palensky José Rodriguez Pedro Rodríguez Thilo Sauter Remus Teodorescu Polytechnic University of Bari Bari Italy Universitat Politéchnica de Catalunya Barcelona Spain National Renewable Energy Laboratory (NREL) Golden CO USA Electrical Engineering Department University of Colorado Denver CO USA Department of Electrical and Information Engineering University of L'Aquila L'Aquila Italy National Renewwable Energy Laboratory (NREL) Golden CO USA Department of Automatic Control Systems and Computer Engineering Technical University of Catalonia Barcelona Spain Department of Electrical and Computer Engineering University of Waterloo Waterloo ON Canada Institue of Computer Technology Vienna Technical University Vienna Austria Department of Electrical Engineering and Computer Science University of Wisconsin Milwaukee WI USA Sustainable Building Technologies Austrian Institue of Technology (AIT) Vienna Austria Department of Electronics Engineering Universidad Técnica Federico Santa María Valparaiso Chile Research Group on Renewable Electrical Energy Systems Department of Electrical Engineering Universitat Politécnica de Catalunya (UPC) Barcelona Spain Austrian Academy of Sciences Institute of Integraded Sensor Systems Wiener Neustadt Austria

The 20 papers in this second part of this special section are classified by energy sources (wind, photovoltaic, hydro, etc.), grid-related issues (islanding, synchronization, microgrid, and smart grid), and converters... 详细信息

关键词： Special issues and sections Smart grids Renewable energy resources Photovoltaic systems Power conversion Wind energy Hydroelectric power generation Power grids

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Containment control of networked Lagrange systems with group dispersion and cohesion behaviors

Containment control of networked Lagrange systems with group...

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Chinese control Conference (CCC)

作者： Ziyang Meng Zongli Lin Wei Ren Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville 22904-4743 U.S.A. Department of Electrical and Computer Engineering Utah State University Logan 84322 U.S.A.

In this paper, distributed containment control with group dispersion and cohesion behaviors are discussed for a group of Lagrange systems. Both the cases of constant leaders' generalized coordinate derivatives and time-varying leaders' generalized coordinate derivatives are considered. The proposed control algorithms are shown to obtain velocity matching, connectivity maintenance and collision avoidance. In addition, the sum of the steady-state distances between followers and the convex hull formed by the leaders is shown to be bounded and this bound is explicitly given.

关键词： Lead Dispersion Topology Sensors Laplace equations Maintenance engineering Algorithm design and analysis

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On iterative learning control design for tracking iteration-varying trajectories with high-order internal model

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控制理论与应用（英文版） 2010年第3期8卷 309-316页

作者： Chenkun YIN Jianxin XU Zhongsheng HOU Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China

In this paper, iterative learning control （ILC） design is studied for an iteration-varying tracking problem in which reference trajectories are generated by high-order internal models （HOLM）. An HOlM formulated as a polynomial operator between consecutive iterations describes the changes of desired trajectories in the iteration domain and makes the iterative learning problem become iteration varying. The classical ILC for tracking iteration-invariant reference trajectories, on the other hand, is a special case of HOlM where the polynomial renders to a unity coefficient or a special first-order internal model. By inserting the HOlM into P-type ILC, the tracking performance along the iteration axis is investigated for a class of continuous-time nonlinear systems. Time-weighted norm method is utilized to guarantee validity of proposed algorithm in a sense of data-driven control.

关键词： ILC High-order intemal model Iteration-varying Nonlinear systems Continuous-time

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A system for acquiring, transmitting and distributed EEG data processing

A system for acquiring, transmitting and distributed EEG dat...

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12th Mediterranean Conference on Medical and Biological engineering and Computing, MEDICON 2010

作者： Kastaniotis, D. Maragos, G. Fragoulis, N. Ifantis, A. Electronics Laboratory Department of Physics University of Patras Patras Greece Control Systems/Digital Signal Processing Data Acquisition Laboratory/ Department of Electrical Engineering Technological Educational Institute of Patras Patras Greece

ISBN: (纸本)9783642130380

In this work a remote controlled system for acquiring and processing EEG signals is presented having also capabilities of distributed EEG data processing. The system consists of a PC running specialized software and a specialized data acquisition (DAQ) card. The software environment for contacting remote EEG signal acquisition, analysis and data access is based on the well known National Instrument's Lab- VIEW. EEG data can be transmitted over the internet and the associated software provides security in EEG and diagnostic analysis data sharing preventing access by unauthorized viewers. The EEG data processing is based on Independent Component Analysis technique (ICA). This technique allows good separation of signals arising from brain and non-brain sources (artifacts), as well as the distinction of the temporal discrete but spatial overlapping brain activities. The presented system is used for sharing confidential EEG data over the internet providing an automatic decision-making tool for a "second opinion" analysis in a clinical diagnosis procedure. © 2010 International Federation for Medical and Biological engineering.

关键词： Brain

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A statistical shape model using 2D-principal component analysis from few medical samples and its evaluation

A statistical shape model using 2D-principal component analy...

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International Conference on Software engineering and Data Mining (SEDM)

作者： Tomoko Tateyama Taishi Tanaka Shinya Kohara Amir Hossein Foruzan Akira Furukawa Yen-Wei Chen Intelligent Image Processing Laboratory College of Information Science and Engineering Ritsumeikan University Shiga Japan Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Department of Radiology Shiga University of Medical Science Shiga Japan

ISBN: (纸本)9781424473243;9788988678220;9788988678213

Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling method using 2D PCA. The 3D shape is represented as a matrix by spherical parameterization. The experiments showed that our proposed method can reconstruct statistical shape model with good generalization even using fewer samples.

关键词： Biomedical imaging Shape control Biomedical engineering Principal component analysis Liver information analysis Educational institutions Azimuth Covariance matrix Image analysis

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Takagi-Sugeno fuzzy sensor faults estimation of an induction motor

Takagi-Sugeno fuzzy sensor faults estimation of an induction...

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Mediterranean Conference on control and Automation (MED)

作者： M. Allouche M. Chaabane M. Soussi D. Mehdi A. Hajjaji Research Unit of Industrial Processes Control UCPI ENIS Department of Electrical Engineering National Engineering School of Sfax (ENIS) Sfax Tunisia Information and Systems laboratory MIS University of Picardie Jules Verne Amiens France

In this paper, we treat the problem of the sensor faults detection for induction motor. The false measures or the disconnections of these sensors produce severe transient errors in the estimator for the control loop and involve ominous effects on the performances of the motor. Therefore, a fuzzy observer is designed to estimate both states and sensor faults. Firstly, the Takagi-Sugeno (T-S) fuzzy model is employed to approximate the induction motor in the synchronous d-q frame rotating with electromagnetic field-oriented. Secondly, a descriptor observer is synthesized where the sensor faults are considered as an auxiliary variable. The observer parameters are obtained by solving a set of Linear Matrix Inequalities (LMIs). Finally, simulation and experimental results are given to illustrate the effectiveness of the proposed approach.

关键词： Observers Induction motors Rotors Torque Stator windings Fault detection

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Inferring motion uncertainty from shape-Matching

Inferring motion uncertainty from shape-Matching

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Zuolei Sun Joop van de Ven Fabio Ramos Xuchu Mao Hugh Durrant-Whyte Department of Instrumentation Engineering School of Electronic Information and Electrical Engineering Navigation & Control Laboratory Shanghai Jiaotong University Shanghai China Australian Centre for Field Robotics ARC Centre of Excellence for Autonomous Systems University of Sydney NSW Australia

ISBN: (纸本)9781424450381;9781424450404

This paper proposes a novel method for computing robot motion uncertainty from ranging sensor data. The method utilises the recently proposed CRF-Matching procedure which matches laser scans based on shape descriptors. Motion estimates are computed in a probabilistic framework by performing inference on a probabilistic graphical model. We propose an efficient sampling procedure for obtaining probable association hypothesis of the probabilistic graphical model. The hypothesis are used to generate estimates on the uncertainty of translational and rotational movements of the robot. Experiments demonstrate the benefits of the approach on simulated data sets and on laser scans from an urban environment. The approach is also combined with the well-established delayed-state information filter for a large-scale outdoor simultaneous localisation and mapping task.

关键词： Uncertainty Laser modes Graphical models Robot motion Shape Motion estimation Sampling methods Delay information filters Large-scale systems

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Delay-dependent H_(infinity) exponential stabilization of T-S fuzzy systems with interval time-varying delay

Delay-dependent H_(infinity) exponential stabilization of T-...

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2010 49th IEEE Conference on Decision and control

作者： Hamdi Gassara Ahmed El Hajjaji Mohamed Chaabane Modeling Information and Systems Laboratory University of Picardie Jules Verne MIS 7 Rue du Moulin Neuf 80000 Amiens France Department of Electrical Engineering Research Unit of Automatic Control National School of Engineering of Sfax University of Sfax Route Soukra Km 3.5 B.P. 1173 3038 Sfax Tunisia

ISBN: (纸本)9781424477456

In this paper, the problem of H_(infinity) exponential stabilization for T-S fuzzy systems with interval time varying delay, which is more general than constant delay and bounded time varying delay, is investigated. Delay dependent stabilization conditions are derived based on a suitable Lyapunov-Krasovskii Functional and jessen's inequality. The proposed approach has two major advantages. The first is the reduction of conservatism because neither any model transformation nor Park's or moon's inequality are employed in our theoretical derivation. The second concerns the reduction of computational complexity since neither free weighting matrix are needed. Furthermore, the decay rate of the system is determined therefore its transient process can be described more clearly. An application to control a truck trailer perturbed by interval time varying delay is provided to demonstrate the effectiveness of the proposed approach.

关键词： Fuzzy systems Time intervals decay rates time varying delay transient processes Exponential Conservatism park T-S fuzzy model

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An integrated control of shading blinds, natural ventilation, and HVAC systems for energy saving and human comfort

An integrated control of shading blinds, natural ventilation...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Biao Sun Peter B. Luh Qing-Shan Jia Ziyan Jiang Fulin Wang Chen Song Center of Intelligent and Networked Systems (CFINS) Tsinghua National Laboratory of Information Science and Technology Tsinghua University Beijing China Department of Electrical and Computer Engineering University of Connecticut Storrs CT USA Department of Building Science Tsinghua University Beijing China Safety and Control Systems China and the Tsinghu-UTC Research Institute of Integrated Building Energy United Technologies Research Center Inc. Beijing China

Improving the control of shading blinds, lights, natural ventilation, and HVAC systems while satisfying human comfort requirements can result in significant energy cost savings with time-of-day electricity pricing. Traditionally, the above-mentioned devices are controlled separately. In this paper, a novel formulation for the integrated control and the corresponding solution methodology are presented. The problem is to minimize daily energy costs of lights and HVAC systems while satisfying equipment capacities, system dynamics, and human comfort. The problem is complicated since 1) individual rooms are coupled as they compete for the HVAC with limited capacity and nonlinear characteristics, and 2) the problem is believed to be NP-hard in view that decision variables are all discrete. A solution methodology that combines Lagrangian relaxation and stochastic dynamic programming is developed within the surrogate optimization framework to obtain near-optimal strategies. These strategies are further refined to become novel control rules for easy practical implementation. Numerical simulation results show that both of the above strategies can effectively reduce the total energy cost, and that the integrated control works better than selected traditional control strategies.

关键词： Ventilation Humidity Equations Optimization Heating Humans

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