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Titlebook: Nature-Inspired Computing for Control Systems; Hiram Eredín Ponce Espinosa Book 2016 Springer International Publishing Switzerland 2016 Bi

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發(fā)表于 2025-3-21 18:05:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Nature-Inspired Computing for Control Systems
編輯Hiram Eredín Ponce Espinosa
視頻videohttp://file.papertrans.cn/663/662071/662071.mp4
概述Offers a comprehensive review of nature-inspired methods and applications.Describes the advantages of nature-inspired computing in comparison to traditional techniques, with a special emphasis to cont
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: Nature-Inspired Computing for Control Systems;  Hiram Eredín Ponce Espinosa Book 2016 Springer International Publishing Switzerland 2016 Bi
描述The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is expected to motivate readers with a background in conventional control systems to try out these powerful techniques inspired by nature. On the other side, the book provides advanced readers with a deeper understanding of the field and a broad spectrum of different methods and techniques. All in all, the book is an outstanding, practice-oriented reference guide to nature-inspired computing addressing graduate students, researchers and practitioners in the field of control engineering.
出版日期Book 2016
關(guān)鍵詞Biologically-Inspired Control; Meta-Heuristic Optimization; Adaptive Control Systems; Neuro-Fuzzy Contr
版次1
doihttps://doi.org/10.1007/978-3-319-26230-7
isbn_softcover978-3-319-79910-0
isbn_ebook978-3-319-26230-7Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer International Publishing Switzerland 2016
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Monica Patrascu,Andreea Ioninterpreted as resulting from bandgap narrowing. Representative characteristics are given for four types of GTO: 600 V - 200 A, 600 V - 600 A, 1300 V - 600 A, and 2500 V - 600 A units. Research and development activities at different organizations are also briefly reviewed. A num-ber of GTO applicat
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Ernesto Moya-Albor,Jorge Brieva,Hiram Eredín Ponce Espinosaompromise between computational efficiency and an accurate description of the underlying device physics. Therefore transport equations are used mainly to compute data for the model parameters in the drift diffusion equations in the engineering environment. It should be pointed out, however, that, wi
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Bioinspired Control Method Based on Spiking Neural Networks and SMA Actuator Wires for LASER Spot Tr use of analogue implementation of the spiking neural networks for real time operation as well as the SMA actuator wires for more biological plausibility. To validate this method we implemented in hardware a spiking neural network structure that processes the input from a one dimensional photodiode
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The Spread of Innovatory Nature Originated Metaheuristics in Robot Swarm Control for Smart Living Enl techniques for AAL robots. To enhance the accuracy and convergence rate of ANN, a new method of neural network training is explored, i.e., grey wolf optimization (GWO). Moreover, we provide an overview of applying emerging metaheuristic approaches to various smart robot control scenarios which, fr
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Neural Network Fitting for Input-Output Manifolds in Constrained Linear Systemsor application in fast dynamics systems, unless an advanced, expensive processor is employed. From the data obtained by the simulation of online laws, MLPs can be trained to emulate such maps; thus, they can replace online computation and drastically reduce the runtime. Two numerical examples, one o
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