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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Lian-Wang Lee I-Hsum Li Institute of Automation and Control National Taiwan University of Science and Technology Taiwan Department of Computer Science and Information Engineering Lee Ming Institute of Technology Taiwan

The behavior of nonlinearity and time-varying cause the pneumatic actuator systems are difficult to be controlled. This paper proposes a Fourier series-based adaptive sliding-mode controller for nonlinear pneumatic servo systems. The Fourier series-based functional approximation technique can approximate an unknown function, thus bypassing the model-based prerequisite. The learning laws for the coefficients of the Fourier-series functions are derived from a Lyapunov function to guarantee the system stability. Consequently, practical experiments on a rodless pneumatic servo system are successfully implemented with different path tracking profiles, which validates the proposed method.

关键词： Artificial neural networks Conferences Robots Fluid dynamics Trajectory

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Power quality disturbances classification by ensemble and hybrid neural networks

Power quality disturbances classification by ensemble and hy...

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2010 International Conference on Power System Technology: Technological Innovations Making Power Grid Smarter, POWERCON2010

作者： Huang, N.T. Zhang, Y.J. Xu, D.G. Liu, X.S. Qi, J.J. Department of Electrical Engineering Harbin Institute of Technology Harbin Heilongjiang 150001 China College of Information and Control Engineering Jilin Institute of Chemical Technology Jilin 132022 China Department of Computer Science and Technology Harbin Institute of Technology Harbin Heilongjiang 150001 China Hangzhou Electric Power Bureau State Grid Corporation of China Hangzhou Zhejiang 310009 China

ISBN: (纸本)9781424459407

A novel ensemble neural network structure is presented for automatic classification of power quality disturbances. Power quality (PQ) disturbances analysis is the focus of power quality control. The characteristics of PQ disturbances include short duration, variety of types and so on. Power quality disturbances classification is the foundation of power quality control automation. Different types of Neural network, such as BP neural networks, RBF neural networks and probabilistic neural network etc, is already applied in the area of PQ disturbances classification and recognition. The researches about the neural network for PQ disturbances recognition are mainly focused on the optimizing for the signal type of neural network. But the accuracy rate of the classification is still needed to be improved. Ensemble and hybrid algorithms research is currently flourishing in pattern classification machine learning and decision sciences. Compare to traditional NN, the ensemble and hybrid NN classifier achieves higher classification rate. In this paper, a novel PQ classification system using S-transform and ensemble and hybrid NN is designed. There are 2 stages in the novel system. Firstly, the PQ disturbances signals are transformed by S-transform and the subset of features extracted from the result of S-transform is used as the input vector of the ensemble and hybrid NN. Secondly in the pattern classification process, BP network and RBF neural network are utilized as two classification agents. Through choosing different parameters and different samples, every agent includes a group of neural networks. The classification results, generated by different agents, are fuzzified into fuzzy numbers. The centroid of all fuzzy numbers is compared with the threshold. Finally we obtain the classification results. In the simulation, 6 types of disturbances signals which are simulated by Matlab 7.0 use for test the new classification system. Simulation result shows that when the new syste

关键词： Power quality

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Adaptive flocking with a virtual leader of multiple agents governed by nonlinear dynamics

Adaptive flocking with a virtual leader of multiple agents g...

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作者： Su, Housheng Chen, Guanrong Wang, Xiaofan Lin, Zongli Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Department of Electronic Engineering City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong Department of Automation Shanghai Jiao Tong University Dongchuan Road 800 Shanghai 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400473 Charlottesville VA 22904-4743 United States

ISBN: (纸本)9787894631046

We investigate the flocking problem of multiple nonlinear dynamical mobile agents with a virtual leader in a dynamic proximity network. We assume that only a fraction of agents in the network are informed and propose a connectivity-preserving flocking algorithm. Under the assumption that the initial network is connected, we introduce local adaptation strategies for both the weights on the velocity navigational feedback and the coupling strengths that enable all agents to track the virtual leader, without requiring the knowledge of the agent dynamics. The resulting flocking algorithm works even for the case where only one agent is informed.

关键词： Dynamics

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Prediction of financial time series with recurrent LoLiMot (locally linear model tree)

Prediction of financial time series with recurrent LoLiMot (...

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International Conference on computer and Automation engineering, ICCAE

作者： Hossein Chegini Caro Lucas Science and research Branch/Computer Science Islamic Azad university of Tehran Tehran Iran Electrical and Computer Engineering Department Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran

ISBN: (纸本)9781424455690

The tolerance and non-stability in financial indexes make changes to other sub-systems like human resources, economics, factory productions and etc. Having underling knowledge and a model to simulate such systems obtains a fine vision to estimate further and calculate hard-decision making tasks before execution like: dept from banks, cash injecting and insurance services. Using Neuro-fuzzy networks are one of the most powerful tools for this estimation. The particular locally linear model type of these networks called LoLiMot are in interest because of their linear training and construction optimization. These network can be much efficient when be a recurrent network why can better capture the dynamism's order of dynamic processes. The Locally linear Neuro-Fuzzy model (LoLiMot) here is as basis for making recurrent. In this paper this network with a global state feedback is implemented and the accuracy and the results of this recurrent network on Dow Jones index as a financial time series are compared with the static LoLiMot. The obtained results were better.

关键词： Predictive models State feedback Neurons Output feedback Power system modeling Gaussian processes control engineering computing Process control Intelligent control computer science

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Software solutions for implementation of biotelemetric system

Software solutions for implementation of biotelemetric syste...

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International Conference on Applied Electronics, AE

作者： Dalibor Janckulik Leona Motalova Ondrej Krejcar Faculty of Electrical Engineering and Computer Science Department of Measurement and Control Technical University of Ostrava Ostrava Czech Republic Faculty of Electrical Engineering and Computer Science Centre of Applied Cybernetics Technical University of Ostrava Ostrava Czech Republic

This paper describes development of a biotelemetric system and problem of real time processing of ECG signal. In this case of signal processing ECG CorBelt primarily on mobile embedded monitoring stations. The Whole system is based on Microsoft product as Windows Mobile, Microsoft SQL Server, .NET Micro Framework, .NET Compact Framework and .NET Framework. On paper is deal with ECG measurement devices and there are evaluated pasted real tests. Problem in processing of ECG signal is quantity of transfered data. Commercial mobile devices can't processing this data on Real Time. Our paper are described possibilities of parsing of this ECG signal. Visualization of data is solved by small userfriendly application created in WPF (Windows Presentation Foundation) and Silverlight application. This application was created in development environment Microsoft Expression Blend and was subjected to stress tests. This application and tests results are presented too.

关键词： Electrocardiography Data visualization Servers Mobile communication Real time systems Databases Wireless communication

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Solutions of hardware platform for Biotelemetric Systems

Solutions of hardware platform for Biotelemetric Systems

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International Conference on Applied Electronics, AE

This paper describes one part of our Biotelemetric System. This part is hardware platform from preprocessing of ECG signal. In order to real time visualization of ECG data, we need measure and process real data from ECG device. This paper discusses main possibilities to solve this problem. First possibility is using of commercial devices, such as embedded PCs, PDAs and wireless ECG unit BlueECG communicating via bluetooth. Suggests major problems and disadvantages of their use and offers possible solutions. This possibility is construction of our own purpose-built equipment. Advantages of our own equipment are its low power consumption and collaboration with mobile devices with limited computing capabilities. In the end we describe the real-time response time of packet parsing problem.

关键词： Electrocardiography Batteries Operating systems Mobile communication Battery charge measurement Personal digital assistants Data visualization

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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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Modeling the influence of non-minimum phase zeros on gradient based linear iterative learning control

Modeling the influence of non-minimum phase zeros on gradien...

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IEEE Conference on control Technology and Applications (CCTA)

作者： David H. Owens Bing Chu Zhonglun Cai Eric Rogers Chris T. Freeman Paul L. Lewin Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK School of Electronics and Computer Science University of Southampton Southampton UK

The subject of this paper is modeling of the influence of non-minimum phase plant dynamics on the performance possible from gradient based norm optimal iterative learning control algorithms. It is established that performance in the presence of right-half plane plant zeros typically has two phases. These consist of an initial fast monotonic reduction of the L 2 error norm followed by a very slow asymptotic convergence. Although the norm of the tracking error does eventually converge to zero, the practical implications over finite trials is apparent convergence to a non-zero error. The source of this slow convergence is identified and a model of this behavior as a (set of) linear constraint(s) is developed. This is shown to provide a good prediction of the magnitude of error norm where slow convergence begins. Formulae for this norm are obtained for single-input single-output systems with several right half plane zeroes using Lagrangian techniques and experimental results are given that confirm the practical validity of the analysis.

关键词： Convergence Approximation methods Cost function Hilbert space Algorithm design and analysis Mathematical model Predictive models

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Performance test of multiplatform real time processing of biomedical signals

Performance test of multiplatform real time processing of bi...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Ondrej Krejcar Marek Penhaker Dalibor Janckulik Leona Motalova Department of Measurement and Control Centre for Applied Cybernetics Faculty of Electrical Engineering and Computer Science Technical University of Ostrava Ostrava Czech Republic

The paper deal with a problem of a data collecting and visualization of several biomedical signals from patients by mobile embedded monitoring stations. Measurement devices were used in real tests. Due to a problem of real time processing a 12 channels ECG from ECG device by Bluetooth to mobile stations, packet parsing as the one problem part of data processing chain, is presented and solved by two possible solutions. Mobile embedded monitoring stations are based on Microsoft Windows Mobile operating system. The whole system is based on the architecture of .NET Framework, .NET Compact Framework, .NET Micro Framework and Microsoft SQL Server.

关键词： Testing Signal processing Electrocardiography Data visualization Patient monitoring Biomedical monitoring Biomedical measurements Bluetooth Data processing Operating systems

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A high-confidence cyber-physical alarm system: Design and implementation

A high-confidence cyber-physical alarm system: Design and im...

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2010 IEEE/ACM International Conference on Green Computing and Communications, GreenCom 2010, 2010 IEEE/ACM International Conference on Cyber, Physical and Social Computing, CPSCom 2010

作者： Ma, Longhua Yuan, Tengkai Xia, Feng Xu, Ming Yao, Jun Shao, Meng Department of Control Science and Engineering Zhejiang University Hangzhou 310027 China School of Aeronautics and Astronautics Zhejiang University Hangzhou 310027 China School of Software Dalian University of Technology Dalian 116620 China Computer Centre Hangzhou First People's Hospital Hangzhou 310006 China

ISBN: (纸本)9780769543314

Most traditional alarm systems cannot address security threats in a satisfactory manner. To alleviate this problem, we developed a high-confidence cyber-physical alarm system (CPAS), a new kind of alarm systems. This system establishes the connection of the Internet (i.e. TCP/IP) through GPRS/CDMA/3G. It achieves mutual communication control among terminal equipments, human machine interfaces and users by using the existing mobile communication network. The CPAS will enable the transformation in alarm mode from traditional one-way alarm to two-way alarm. The system has been successfully applied in practice. The results show that the CPAS could avoid false alarms and satisfy residents' security needs. © 2010 IEEE.

关键词： Cyber Physical System

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