Xem 1-20 trên 70 kết quả Neural control
  • This book presents biologically inspired walking machines interacting with their physical environment. It describes how the designs of the morphology and the behavior control of walking machines can benefit from biological studies.

    pdf194p nhatro75 16-07-2012 61 17   Download

  • Tham khảo tài liệu 'an introduction to intelligent and autonomous control-chapter 9: fuzzy and neural control', công nghệ thông tin, quản trị web phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf22p kaka 28-07-2010 48 7   Download

  • Advanced Control Engineering provides a complete course in control engineering for undergraduates of all technical disciplines. Starting with a basic overview of elementary control theory this text quickly moves on to a rigorous examination of more advanced and cutting edge date aspects such as robust and intelligent control, including neural networks and genetic algorithms.

    pdf391p 326159487 17-05-2012 51 18   Download

  • This thesis addresses two neural network based control systems. The first is a neural network based predictive controller. System identification and controller design are discussed. The second is a direct neural network controller. Parameter choice and training methods are discussed. Both controllers are tested on two different plants. Problems regarding implementations are discussed. First the neural network based predictive controller is introduced as an extension to the generalised predictive controller (GPC) to allow control of non-linear plant.

    pdf163p o0_mrduong_0o 30-03-2013 35 16   Download

  • Robot Manipulator Control offers a complete survey of control systems for serial-link robot arms and acknowledges how robotic device performance hinges upon a well-developed control system. Containing over 750 essential equations, this thoroughly up-to-date Second Edition, the book explicates theoretical and mathematical requisites for controls design and summarizes current techniques in computer simulation and implementation of controllers. It also addresses procedures and issues in computed-torque, robust, adaptive, neural network, and force control.

    pdf622p nvavan 08-05-2015 33 15   Download

  • A comprehensive introduction to the most popular class of neural network, the multilayer perceptron, showing how it can be used for system identification and control. The book provides readers with a sufficient theoretical background to understand the characteristics of different methods, and to be aware of the pit-falls so as to make the correct decisions in all situations. This is a very application-oriented text that gives detailed and pragmatic recommendations to guide users through the plethora of methods suggested in the literature.

    pdf38p o0_mrduong_0o 30-03-2013 48 11   Download

  • The title of the book System, Structure and Control encompasses broad field of theory and applications of many different control approaches applied on different classes of dynamic systems. Output and state feedback control include among others robust control, optimal control or intelligent control methods such as fuzzy or neural network approach, dynamic systems are e.g.

    pdf256p kimngan_1 06-11-2012 28 7   Download

  • The potential value of artificial neural networks (ANNs) as a predictor of malignancy has now been widely recognised. The concept of ANNs dates back to the early part of the 20th century; however, their latest resurrection started in earnest in the 1980s when they were applied to many problems in the areas of pattern recognition, control, and optimisation.

    pdf212p echbuon 02-11-2012 27 5   Download

  • The objectives of the thesis: Propose algorithms for controlling speed and flux of AC motors; propose rotor speed and flux estimation algorithms for speed sensorless controlller of AC motors.

    pdf27p change01 05-05-2016 3 1   Download

  • A neural-network-based space-vector PWM controller for a three-level voltage-fed inverter induction motor drive

    pdf10p hoang1 31-10-2009 122 49   Download

  • A hybrid neural fuzzy system is proposed to monitor both process mean and variance shifts simultaneously.

    pdf22p nguyen3 13-11-2009 87 34   Download

  • Fundamentals Adaptive systems are at the very core of modern digital signal processing. There are many reasons for this, foremost amongst these is that adaptive filtering, prediction or identification do not require explicit a priori statistical knowledge of the input data. Adaptive systems are employed in numerous areas such as biomedicine, communications, control, radar, sonar and video processing (Haykin 1996a).

    pdf21p doroxon 12-08-2010 44 16   Download

  • Genetic Algorithms K.F. Man, K.S. Tang and S. Kwong Neural Networks for Modelling and Control of Dynamic Systems M. Nørgaard, O. Ravn, L.K. Hansen and N.K. Poulsen Modelling and Control of Robot Manipulators (2nd Edition) L. Sciavicco and B. Siciliano Fault Detection and Diagnosis in Industrial Systems L.H. Chiang, E.L. Russell and R.D. Braatz Soft Computing L. Fortuna, G. Rizzotto, M. Lavorgna, G. Nunnari, M.G. Xibilia and R. Caponetto Statistical Signal Processing T. Chonavel Discrete-time Stochastic Processes (2nd Edition) T. Söderström Parallel...

    pdf429p khangoc2393 13-08-2012 29 7   Download

  • Artifi cial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications in various areas. An artifi cial neural network, oft en just called a neural network, is a mathematical (or computational) model that is inspired by the structure and function of biological neural networks in the brain.

    pdf0p ktcn_1 10-07-2012 25 6   Download

  • The aim of this new interdisciplinary series is to promote the exchange of information between scientists working in different fields, who are involved in the study of complex systems, and to foster education and training of young scientists entering this rapidly developing research area.

    pdf453p hotmoingay 04-01-2013 25 6   Download

  • Neural Control The small intestine and colon have intrinsic and extrinsic innervation. The intrinsic innervation, also called the enteric nervous system, comprises myenteric, submucosal, and mucosal neuronal layers. The function of these layers is modulated by interneurons through the actions of neurotransmitter amines or peptides, including acetylcholine, vasoactive intestinal peptide (VIP), opioids, norepinephrine, serotonin, ATP, and nitric oxide. The myenteric plexus regulates smooth-muscle function, and the submucosal plexus affects secretion, absorption, and mucosal blood flow.

    pdf5p ongxaemnumber1 29-11-2010 36 4   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Correction: Error mapping controller: a closed loop neuroprosthesis controlled by artificial neural networks

    pdf1p panasonic08 06-01-2012 23 4   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A neural tracking and motor control approach to improve rehabilitation of upper limb movements

    pdf12p panasonic08 06-01-2012 25 4   Download

  • Tham khảo tài liệu 'artificial neural networks industrial and control engineering applications part 2', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf35p 239198718 13-01-2012 41 4   Download

  • Tham khảo tài liệu 'artificial neural networks industrial and control engineering applications part 3', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf35p 239198718 13-01-2012 18 4   Download

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