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Weight update sequence in MLP networks

Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8669卷 266-274页

作者： Kordos, Miroslaw Rusiecki, Andrzej Kamiński, Tomasz Greń, Krzysztof University of Bielsko-Biala Department of Mathematics and Computer Science Bielsko-Biala Willowa 2 Poland Wroclaw University of Technology Institute of Computer Engineering Control and Robotics Wroclaw Wybrzeże Wyspiańskiego 27 Poland

ISBN: (纸本)9783319108391

The advantages of Variable Step Search algorithm - a simple local search-based method of MLP training is that it does not require differentiable error functions, has better convergence properties than backpropagation and lower memory requirements and computational cost than global optimization and second order methods. However, in some applications, the issue of training time reduction becomes very important. In this paper we evaluate several approaches to achieve this reduction. © Springer International Publishing Switzerland 2014.

关键词： Global optimization

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Adaptive observer for nonlinear fractional-order systems

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International Journal of Adaptive control and Signal Processing 2016年第3期31卷

作者： Ibrahima N'doye Taous-Meriem Laleg-Kirati Mohamed Darouach Holger Voos Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Research Center for Automatic Control of Nancy (CRAN UMR 7039 CNRS) University of Lorraine IUT de Longwy 186 rue de Lorraine 54400 Cosnes et Romain France Faculty of Science Technology and Communication (FSTC) University of Luxembourg 6 rue Richard Coudenhove-Kalergi L-1359 Luxembourg

In this paper, an adaptive observer is proposed for the joint estimation of states and parameters of a fractional nonlinear system with external perturbations. The convergence of the proposed observer is derived in terms of linear matrix inequalities (LMIs) by using an indirect Lyapunov *** proposed adaptive observer is also robust against Lipschitz additive nonlinear uncertainty. The performance of the observer is illustrated through some examples including the chaotic Lorenz and Lü's systems. Copyright © 2016 John Wiley & Sons, Ltd.

关键词： adaptive observer design fractional-order nonlinear system indirect Lyapunov approach linear matrix inequality (LMI) chaotic Lorenz system chaotic Lü's system

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Comparison of periodic and event-based sampling for linear state estimation 19

Comparison of periodic and event-based sampling for linear s...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Wang, Bingchang Fu, Minyue School of Control Science and Engineering Shandong University Jinan250061 China School of Electrical Engineering and Computer Science University of Newcastle CallaghanNSW2308 Australia Department of Control Science and Engineering ZheJiang University Hangzhou310058 China

ISBN: (纸本)9783902823625

In this paper, the state estimation problem for continuous-time linear systems with two types of sampling is considered. First, the optimal state estimator under periodic sampling is presented. Then the state estimator with event-based updates is designed, i.e., when an event occurs the estimator is updated linearly by using the measurement of output, while between the consecutive event times the estimator is updated by minimum mean-squared error criteria. The average estimation errors under both sampling schemes are compared quantitatively for first and second order systems, respectively. A numerical example is given to compare the effectiveness of two state estimators. © IFAC.

关键词： State estimation

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Real-time bug-like dynamic path planning for an articulated vehicle

Lecture Notes in Electrical Engineering

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Lecture Notes in Electrical engineering 2014年 325卷 201-215页

作者： Nayl, Thaker Nikolakopoulos, George Gustafsson, Thomas Automatic Control Group Department of Computer Science Electrical and Space Engineering Luleå University of Technology Luleå97187 Sweden

This article proposes a novel real time bug like algorithm for performing a dynamic smooth path planning scheme for an articulated vehicle under limited and sensory reconstructed surrounding static environment. In the general case, collision avoidance techniques can be performed by altering the articulated steering angle to drive the front and rear parts of the articulated vehicle away from the obstacles. In the presented approach factors such as the real dynamics of the articulated vehicle, the initial and the goal configuration (displacement and orientation), minimum and total travel distance between the current and the goal points, and the geometry of the operational space are taken under consideration to calculate the update on the future way points for the articulated vehicle. In the sequel the produced path planning is iteratively smoothed online by the utilization of Bezier lines before producing the necessary rate of change for the vehicle’s articulated angle. The efficiency of the proposed scheme is being evaluated by multiple simulation studies that simulate the movement of the articulated vehicle in open and constrained spaces with the existence of multiple obstacles. © Springer International Publishing Switzerland 2014.

关键词： Motion planning

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Principal component analysis anomaly detector for rotor broken bars

Principal component analysis anomaly detector for rotor brok...

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作者： Mustafa, Mohammed Obaid Georgoulas, George Nikolakopoulos, George Control Engineering Group Department of Computer Science Electrical and Space Engineering Lulea University of Technology LuleaSE-97187 Sweden Department of Computer Engineering Technological Educational Institute of Epirus Arta Greece

ISBN: (纸本)9781479940325

In this article a method for the detection of broken rotor bars in asynchronous machines operating under full load is presented. Unlike most Motor Current Signature Analysis (MCSA) approaches, which operate in the frequency domain, our method operates in the time domain. The scheme is based on the use of a Principal Component Analysis (PCA) fault/anomaly detector. PCA is applied on the three stator currents to subsequently calculate the Q statistic which is employed for detecting the presence/absence of a fault. The efficiency of the proposed scheme was experimentally evaluated using different fault severity levels, ranging from 1/4 of a broken bar to three broken bars. The obtained results indicate that the method can detect the caused asymmetry with a very restricted amount of data. © 2014 IEEE.

关键词： Principal component analysis

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Real-time Middle Wave Infrared Aerial Image Capturing and Stitching System for Vegetation Observation

Real-time Middle Wave Infrared Aerial Image Capturing and St...

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IEEE International Instrumentation and Measurement Technology Conference

作者： Chun-Fu Lin Sheng-Fuu Lin Wen-Jyi Hwang Yung-Hsiang Chen Chi-Hung Hwang Instrument Technology Research Center National Applied Research Laboratories Taiwan Republic of China Institute of Electrical Control Engineering National Chiao Tung University Taiwan Republic of China Department of Computer Science and Information Engineering National Taiwan Normal University Taiwan Republic of China

ISBN: (纸本)9781479961153

Over the last decades, several studies have demonstrated the reflectance effectiveness of middle wave infrared (MWIR) for discriminating among different types of vegetation, and estimating the total and leaf biomass of several forest ecosystems. Therefore, a MWIR aerial image capturing system for vegetation observation is urgently required. Furthermore, stitching those MWIR aerial images together is necessary for a panorama of the region of interest (ROI). Most traditional stitching algorithms for aerial images are designed for visible images, and are not suitable for infrared images that are noisy, blurry, or lack detail. In this paper, a novel real-time MWIR aerial image capturing and stitching system for vegetation observation is proposed. The proposed stitching algorithm for aerial infrared images improved from scale invariant feature transform (SIFT) and random M-least square can find a sufficient number of feature points easily and perform rapid calculations. Therefore, the proposed MWIR aerial image capturing and stitching system for vegetation observation can operate in real time.

关键词： real-time MWIR capturing system stitching

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Abstracts from the 1st International Symposium on Decision Support in Anaesthesia and Intensive Care

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International journal of clinical monitoring and computing 2016年第1期14卷 49-68页

作者： D. Streifert N. Lutter E. Van der Vorst J. Mulier B. Schwilk U. Bothner R. Muche W. Friesdorf K. J. Ruskin A. F. de Geus G. E. Wiersma R. Huet H. Neuffer F. Fischer U. J. Christensen P. F. Jensen J. Jacobsen H. Ørding A. M. Brambrink V. Goel D. F. Hanley K. Becker H. D. Shaffner L. J. Martin N. V. Thakor R. C. Koehler R. J. Traystman M. Quintel M. Apin J. Martin M. Messelken R. Dieterle-Paterakis J. Hiller P. Milewski H. Gross U. Foehring N. Weiler B. Eberle W. Heinrichs W. Höltermann M. van Wickern D. M. Linton J. J. Ross D. G. Mason M. D. Pullman N. D. Edwards M. Doi R. J. Gajraj H. Mantzardis G. N. C. Kenny R. Markgraf G. Deutschinoff L. Pientka T. Scholten J. Maljers St. Walther A. Santevecci R. Ranieri Department of Anaesthesiology University of Erlangen-Nuernberg Erlangen Germany University Hospital Gasthuisberg B Leuven Belgium Department of Anaesthesiology University of Ulm Ulm Germany Yale University School of Medicine New Haven USA Department of Anesthesiology University Hospital Groningen RB The Netherlands Dept. Computer-Aided Circuit Design University of Erlangen-Nuernberg Erlangen Germany Dept. of Anaesthesiology Herlev Hospital University of Copenhagen Herlev Denmark Department of Anaesthesiology Johannes Gutenberg-University Medical School Mainz Germany The Johns Hopkins Medical Institution Baltimore USA Institut für Anästhesiolgie und operative Intensivmedizin Klinikum Mannheim Fakultät für klinische Medizin Universität Heidelberg Heidelberg Germany Department for Anaesthesiology and Intensive Care Medicine Hospital “Am Eichert” Goeppingen Germany Physikalisch-Technische Bundesanstalt Berlin Germany Klinik für Anaesthesiologie & Operative Intensivmedizin Klinikum Benjamin Franklin Freie Universitaet Berlin Berlin Germany Department of Anaesthesia and Intensive Care Medicine University Hospital Marburg Germany Medical Intensive Care Department of Medicine Hadassah Medical Organisation Jerusalem Israel Department of Anaesthetics University of Sheffield Northern General Hospital Sheffield UK Department of Automatic Control & Systems Engineering University of Sheffield Sheffield UK University Department of Anaesthesia HCI International Medical Centre Glasgow UK Department of Internal Medicine Allgemeines Krankenhaus für die Stadt Hagen University of Witten/Herdecke Witten Germany Plexus Medical Group Amsterdam Amsterdam The Netherlands Network Division USA Dept. of Anesthesiology and Intensive Care Università Cattolica del Sacro Cuore - Roma (Italy) Italy

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Positioning control of a one-DOF manipulator driven by pneumatic artificial muscles based on active disturbance rejection control

Positioning control of a one-DOF manipulator driven by pneum...

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第三十四届中国控制会议

作者： Ling Zhao Qi Li Hongjiu Yang Hongbo Li Hebei Province Key Laboratory of Heavy Machinery Fluid Power Transmission and Control Yanshan University Key Laboratory of Advanced Forging & Stamping Technology and Science(Yanshan University) Ministry of Education of China College of Mechanical EngineeringYanshan University College of Mechanical Engineering Yanshan University Institute of Electrical Engineering Yanshan University Department of Computer Science and Technology Tsinghua University

The purpose of this paper is to study positioning control performance of the one-DOF manipulator driven by pneumatic artificial muscles using active disturbance rejection controller. Owing to the pneumatic artificial muscle's highly nonlinear and time-varying behavior, it is difficult to achieve good positioning performance. In this paper, the nonlinear and time-varying behavior of pneumatic artificial muscle is considered as disturbance to be estimated by extended state observer. Tracking differentiator is designed to get corresponding smooth signal and differential signal of reference input to avoid overshoot. A linear error feedback combining with estimated value compensation of disturbance is designed to ensure a good response of system. Moreover, stability analysis of the close-loop system is given by Lyapunov theory. Finally, simulation results verify the effectiveness of the proposed controller.

关键词： Active disturbance rejection control,positioning control,pneumatic artificial muscle,disturbance estimation

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Towards an emotional agent architecture for practical reasoning

UPB Scientific Bulletin, Series C: Electrical Engineering

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UPB Scientific Bulletin, Series C: Electrical engineering 2014年第1期76卷 145-156页

作者： PuicǍ, Mihaela-Alexandra Department of Computer Science Faculty of Automatic Control and Computers University Politehnica of Bucharest Romania

Agents aimed at accomplishing task specific goals require reasoning and learning capabilities;their internal architecture is built using artificial intelli- gence techniques like problem solving, knowledge representation or planning. But agents aimed at interacting with human users are expected to know more than that: they need to show believable behavior and social abilities. Emotions, with their influence on behavior and cognitive processes, are able to provide the required abilities. We believe that modeling human emotional mechanisms as faithfully as possible makes an agent suitable for performing in a human-agent interaction en- vironment. In this paper we present such an architecture, which aims at modeling the human affective mechanisms of primary and secondary emotions, personality and resource usage. The agent is integrated in a human-agent interaction sce- nario, showing how its affect infuences its behavior and the activities during a lesson in an e-learning system.

关键词： Knowledge representation

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An image analysis algorithm for soil structure identification

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2015年 323卷 681-692页

作者： Charytanowicz, Malgorzata Kulczycki, Piotr Polish Academy of Sciences Systems Research Institute Centre of Information Technology for Data Analysis Methods Newelska 6 Warsaw01-447 Poland Catholic University of Lublin Institute of Mathematics and Computer Science Konstantynow 1H Lublin20-708 Poland Cracow University of Technology Department of Automatic Control and Information Technology Warszawska 24 Cracow31-155 Poland

Pore space study has been utilized as a general method for defining soil structures. This is because the characteristics particular to pore space impact the majority of physical and physicochemical soil parameters relevant due to plant growth. This paper presents an image segmentation approach for detecting the soil pore structures that have been studied by way of soil tomography sections. In so-doing, a research study was conducted using a density-based clustering method, and in turn, the nonparametric kernel estimation methodology. This overcomes the rigidity of arbitrary assumptions concerning the number or shape of clusters among data, and lets the researcher detect inherent data structures. After a short description of the method, the practical aspects and applications illustrated with a number of soil aggregates are presented. © Springer International Publishing Switzerland 2015.

关键词： Image segmentation

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