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Delay-dependent adaptive reconfiguration control in the presence of input saturation and actuator faults

Delay-dependent adaptive reconfiguration control in the pres...

引用

作者： Guo, Yuying Jiang, Bin Shi, Peng College of Automation Engineering University of Aeronautics and Astronautics 29 YuDao Street Nanjing 210012 China School of Information Engineering Southwest University of Science and Technology Mianyang 621010 China Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd CF37 1DL United Kingdom School of Engineering and Science Victoria University Melbourne VIC 8001 Australia

In this paper, an active fault tolerant control strategy is developed for a class of linear state-delayed systems with unknown actuator faults and input constraints. The desigh is a combibation between a direct adaptive control algorithm and multiple model switching, and the μ-modification is introduced in the model reference control architecture. The main features of the proposed control strategy are the reliability and simplicity in tracking against actuator faults. By Lyapunov-Krasovskii theory, the stability of overall system is guaranteed and the boundness of all signals is ensured. Numerical simulation results demonstrate the effectiveness of the proposed fault-tolerant control scheme.

关键词： Time delay

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Fault diagnosis for switched systems with time delay

Fault diagnosis for switched systems with time delay

引用

2010 8th IEEE International Conference on Control and automation, ICCA 2010

作者： Du, Dongsheng Jiang, Bin Shi, Peng College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 Jiangsu China Aeronautic Science Key Laboratory For Aeronautic Testing and Evaluation China School of Engineering and Science Victoria University Melbourne 8001 VIC Australia Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd CF37 1DL United Kingdom

ISBN: (纸本)9781424451951

This paper investigates the fault diagnosis problem for switched system with time delay. Based on an adaptive fault diagnosis observer, an adaptive estimate algorithm is developed to estimate the fault. The method proposed in this article can not only estimate the fault information quickly and exactly, but also is suitable for two kinds of fault: constant fault and time-varying fault. Simulation results are given to illustrate the effectiveness of the presented method. © 2010 IEEE.

关键词： Failure analysis

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Dissipative analysis and control for discrete-time state-space symmetric systems

Dissipative analysis and control for discrete-time state-spa...

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Chinese Control Conference (CCC)

作者： Shuping Wang Guoshan Zhang Wanquan Liu School of Electrical Engineering and Automation Tianjin University Tianjin P.R.China The Department of Computing Curtin University of Technology WA Australia

In this paper, the problem of dissipativity analysis and output feedback control synthesis for discrete linear time-invariant systems with state-space symmetry is investigated. Firstly, an explicit expression of H ∞ norm for discrete-time symmetric system is given under the mixed H ∞ and positive real performance criterion, and this is a particular case of dissipative systems. Subsequently, we consider the control synthesis problems for such systems and obtain an explicit parameterized expression of the static output feedback controllers. Finally, two numerical examples are employed to show the effectiveness and reliableness of the proposed approach.

关键词： Symmetric matrices Output feedback Linear matrix inequalities Matrix decomposition Performance analysis Artificial intelligence

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A Framework for Nonlinear Output Regulation for Time-varying Uncertain Systems

A Framework for Nonlinear Output Regulation for Time-varying...

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2010 49th IEEE Conference on Decision and Control

作者： Xi Yang Jie Huang Applied Control and Computing Laboratory Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Shatin N.T. Hong Kong

ISBN: (纸本)9781424477456

Recently, the global robust output regulation problem for nonlinear time-varying systems is considered in [14] under the assumption that the exosystem is exactly known. This paper further considers the case where the time-varying exosystem is unknown. Conditions are given under which the problem can be converted into an adaptive stabilization problem of an augmented time-varying nonlinear system. The problem is solved for a class of time-varying output feedback systems with a time-varying uncertain exosystem.

关键词： Nonlinear output regulation Time-varying systems Adaptive control

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A study of all common subsequences in kernel machine

A study of all common subsequences in kernel machine

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International Conference on Machine Learning and Cybernetics

作者： Guo, Zhi-Qun Wang, Hui Lin, Zhi-Wei Guo, Xiao-Lian College of Automation Harbin Engineering University Harbin 150001 Heilongjiang Province China School of Computing and Mathematics University of Ulster Northern Ireland BT37 OQB United Kingdom School of Mathematics and Computer Science Fujian Normal University China Department of Computer and Information Science Fujian University of Technology China

ISBN: (纸本)9781424465262

Counting all common subsequences (ACS) was proposed as a similarity measurement, which is conceptually different from the sequence kernel (SK) in that ACS only considers the occurrence of subsequences while SK uses the frequency of occurrences of su bseq uences. This difference evidently results in significant performance variety. ACS has been very competitive in the kNN classifier, however, its performance with kernel machine has been rarely investigated. This is due to the fact that whether ACS is suitable for a kernel classifier is not clear. To this end, this paper firstly proves that ACS is a valid kernel, with a delicate analysis. Then, ACS is further proved to be a good kernel with a comparison with SK in the support vector machine. © 2010 IEEE.

关键词： Nearest neighbor search

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On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing

On the diversity mechanisms of opt-aiNet: A comparative stud...

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Congress on Evolutionary Computation

作者： Fabrício O de França Guilherme P. Coelho Fernando J. Von Zuben Laboratory of Bioinformatics and Bioinspired Computing (LBiC) Department of Computer Engineering and Industrial Automation(DCA) School of Electrical and Computer Engineering (FEEC) State University of Campinas-UNICAMP Sao Paulo Brazil

Immune-inspired algorithms based on the Immune Network theory have been frequently claimed to be capable of maintaining diversity among the candidate solutions in their population. However, no specific study on this aspect to verify how the intrinsic diversity mechanisms of such immune algorithms behave, when compared to other approaches from the literature, has been made yet. Therefore, in this work we have addressed this issue, by taking the opt-aiNet algorithm (a popular immune-inspired algorithm developed for real-parameter optimization) and comparing its results with those of a modified version, in which the mechanisms associated with diversity maintenance were replaced by a traditional fitness sharing approach. Besides, two distance metrics were also considered for both algorithms: the traditional Euclidean distance, and the Line Distance, a metric proposed in the literature as capable of identifying whether two solutions belong to distinct local optima. The experiments were performed on six benchmark problems from the literature, each of them with distinct characteristics, and the results have shown that the original immune-inspired mechanisms of opt-aiNet are indeed more capable of stimulating the diversity of solutions, and also requiring a smaller amount of computational resources.

关键词： Immune system Euclidean distance Cloning Benchmark testing Lead Optimization

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Design and Realization of Low Cost Discrete PSD Controller for Power Electronics Applications

Design and Realization of Low Cost Discrete PSD Controller f...

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International Conference on Computer engineering and Applications (ICCEA)

作者： Ondrej Krejcar Michal Tutsch Robert Frischer Ivo Spicka Department of Measurement and Control Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Automation and Computing in Metallurgy Faculty of Metallurgy and Materials Engineering Technical University of Ostrava Ostrava Czech Republic

ISBN: (纸本)9781424460793;9780769539829

Most systems are controlling by common PID controllers. These PID controllers are available in variety possibilities. They are divided by types of controlling systems, by speed of action interference, by complexity, by robustness etc. Most of industrial controllers are very expensive and except of some basic setting they are not offering any other way, how to involve into controlling process. On the other side, developing new analog controller to control simple systems is not reasonable in financial or time issue. That's why we decided to build simple, discrete controller and implement its algorithm into single chip eight bit microcontroller (MCU). This discrete controller - PSD - is characteristic its simplicity and variability. It can control plenty of less complicated systems by a mere change of its characteristic parameters. Thanks to modern approach is possible to create a full-featured controller including power action element on an area equal to 7cm 2 .

关键词： Costs Power electronics Control systems Three-term control Interference Robust control Electrical equipment industry Industrial control Process control Microcontrollers

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Selection of Gabor filters for improved texture feature extraction

Selection of Gabor filters for improved texture feature extr...

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IEEE International Conference on Image Processing

作者： Weitao Li KeZhi Mao Hong Zhang Tianyou Chai Research Center of Automation Northeastern University Shenyang China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Department of Computing Science University of Alberta Edmonton Canada

Texture feature has been widely used in object recognition, image content analysis and many others. Among various approaches to texture feature extraction, Gabor filter has emerged as one of the most popular ones. Gabor filter-based feature extractor is in fact a Gabor filter bank defined by its parameters including frequencies, orientations and smooth parameters of Gaussian envelope. In the literature, different parameter settings have been suggested, and filter banks created by these parameter settings work well in general. From the perspective of pattern classification, however, filter banks thus designed may not be ideal. In the present study, we propose a new approach to Gabor filter bank design, by incorporating feature selection, i.e. filter selection, into the design process. The merits of incorporating filter selection in filter bank design are twofold. Firstly, filter selection produces a compact Gabor filter bank and hence reduces computational complexity of texture feature extraction. Secondly, Gabor filter bank thus designed produces low-dimensional feature representation with improved sample-to-feature ratio, and this in turn leads to improved performance of texture classification. Experiment results on benchmark datasets and a real application have demonstrated the effectiveness of the proposed method.

关键词： Feature extraction Ores Pattern recognition Accuracy Frequency modulation Training Petroleum

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Continuous Noninvasive Blood Pressure Measurement by Near Infra Red CCD Camera and Pulse Transmit Time Systems

Continuous Noninvasive Blood Pressure Measurement by Near In...

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International Conference on Computer engineering and Applications (ICCEA)

作者： Petr Zurek Ondrej Krejcar Marek Penhaker Martin Cerny Robert Frischer Department of Measurement and Control Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Automation and Computing in Metallurgy Faculty of Metallurgy and Materials Engineering Technical University of Ostrava Ostrava Czech Republic

ISBN: (纸本)9781424460793;9780769539829

The need of continuous blood pressure measurement is usable in wide spectrum of applications from physicians practice to home care applications. Many types of blood pressure measurement devices can be bought in electronics shops. All such devices are contact measurement devices which need to be in contact of human body (hand or foot mainly). Secondary they allow only one measurement per several minutes interval (typically ones in 10 minutes). Our goal is to develop a small device for noninvasive continuous measurement of blood pressure. This device must be a small battery powered embedded system which measure a blood pressure during a long time period and send this information remotely to operator's stations. We would like to try two systems of blood pressure monitoring. The first one is system with NIR CCD camera (Near Infra Red), which measure the wide changes of the blood vessels and the second one is system, which measure the pulse transmit time (PTT). At the end we can compare the systems and get information, which system will be a right way to obtain exact continuous blood pressure information.

关键词： Pulse measurements Blood pressure Pressure measurement Time measurement Charge coupled devices Charge-coupled image sensors Biomedical monitoring Battery charge measurement Humans Foot

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Designing Compact Gabor Filter Banks for Efficient Texture Feature Extraction

Designing Compact Gabor Filter Banks for Efficient Texture F...

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International Conference on Control, automation, Robotics and Vision

ISBN: (纸本)9781424478149

Texture feature has been widely used in image segmentation, classification, retrieval and many others. Among various approaches to texture feature extraction, Gabor filtering has emerged as one of the most popular in recent years. Gabor filter-based texture feature extractor is in fact a Gabor filter bank defined by its parameters including frequencies, orientations and smoothing parameters of the Gaussian envelope. In the literature, these parameters are often set by trial and error, based on the experience of the user, and the Gabor filter banks thus designed are often over-sized. To address the problem mentioned above, we propose to design compact Gabor filter banks by incorporating filter selection in this study. We develop a new Mahalanobis separability measure-based supervised approach to address the need of texture feature extraction. The strengths of our methods are twofold. Firstly, the proposed method provides a systematic way for Gabor filter bank design to avoid manmade bias. Secondly, the compact filter banks thus designed overcomes the problem of redundant or insignificant/irrelevant filter banks, and this in turn leads to improved performance of texture classification. Experimental results on benchmark datasets demonstrate the effectiveness of our proposed approach.

关键词： Texture feature extraction Gabor filter bank design Mahalanobis separability Supervised selection approach

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