» » Adaptive Neural Control of Walking Robots (Engineering Research Series (REP))

Download Adaptive Neural Control of Walking Robots (Engineering Research Series (REP)) fb2

by Mark J. Randall
Download Adaptive Neural Control of Walking Robots (Engineering Research Series (REP)) fb2
Engineering
  • Author:
    Mark J. Randall
  • ISBN:
    186058294X
  • ISBN13:
    978-1860582943
  • Genre:
  • Publisher:
    Wiley; 1 edition (October 22, 2007)
  • Pages:
    332 pages
  • Subcategory:
    Engineering
  • Language:
  • FB2 format
    1527 kb
  • ePUB format
    1922 kb
  • DJVU format
    1153 kb
  • Rating:
    4.5
  • Votes:
    726
  • Formats:
    txt rtf lit mbr


The book will also interest those concerned with robot control systems, adaptive neural control, and .

The book will also interest those concerned with robot control systems, adaptive neural control, and applications of autonomous or programmable machine behaviour in multijointed systems. Lists with This Book. This book is not yet featured on Listopia.

Mark J. Randall, University West of England, Bristol, UK. Table of contents. Introduction and background.

The development and management of locomotory robots has not only produced machines that are useful on uneven ground, for climbing walls, in dangerous or hostile environments, and in remote situations, but has also been responsible for some excellent engineering and technological solutions in the field of responsive or adaptive control. Mark J.

Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action .

Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action Systems. legged locomotion, quadruped, biologically inspired robot, adaptive walking on irregular ter- rain, neural system model, central pattern generator (CPG), reflex We report our study to make a quadruped robot walk with medium forward speed on irregular terrain in outdoor environment using a neural system model.

An approach to adaptive neural control of robot manipulators Control of the trajectory of a planar robot using recurrent hybrid networks. International Journal of Machine Tools and Manufacture, Vol. 39, Issue.

An approach to adaptive neural control of robot manipulators. International Journal of Systems Science, Vol. 27, Issue. Control of the trajectory of a planar robot using recurrent hybrid networks.

The combination of NN and robot controller can provide possible solutions for complex manipulation tasks, for example, robot control with unknown dynamics and robot control with unstructured environment. The rest of the paper is organized as follows. A basic structure of the adaptive neural network control for robot manipulator is shown in Figure 5. Consider a dynamic model of a robot manipulator given as follows : where.

Электронная книга "Adaptive Neural Network Control Of Robotic Manipulators", Ge Sam Shuzhi, Harris Christopher J, Lee Tong Heng

Электронная книга "Adaptive Neural Network Control Of Robotic Manipulators", Ge Sam Shuzhi, Harris Christopher J, Lee Tong Heng. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Adaptive Neural Network Control Of Robotic Manipulators" для чтения в офлайн-режиме.

Mobile robots adaptive control using neural. Output Feedback Neural Network Adaptive Robust

Mobile robots adaptive control using neural. Robust adaptive neural network control for switched. Adaptive robust neural controller for robots. Adaptive Flight-Control Design Using Neural-Network. Output Feedback Neural Network Adaptive Robust. Control of a Class of SISO Nonlinear Systems . J. Q. Gong. Bin Yao +. School of Mechanical Engineering. For control engineers, the approximation capability of NN is usually used for system identification , or indirect . 2. However there is very little about the use of NN in direct closed-loop controllers that yield guaranteed performance.

Engineering Control Engineering Neural Networks in Robotics is the first book to present an integrated view of. .Several of these models are described in this book

Engineering Control Engineering. The Springer International Series in Engineering and Computer Science. Neural Networks in Robotics is the first book to present an integrated view of both the application of artificial neural networks to robot control and the neuromuscular models from which robots were created. Several of these models are described in this book. On the other hand, connectionist (artificial neural network) formulations are attractive for the computation of inverse kinematics and dynamics of robots, because they can be trained for this purpose without explicit programming.

2000), Adaptive neural control of walking robots.

in fast moving manipulators or transportation). Affiliations: 1: Intelligent Autonomous Systems Engineering Laboratory, Faculty of Engineering, University of the West of England, Bristol, Bristol, UK. Source: Volume 147, Issue 6, November 2000, p. 619 – 632 DOI: 1. 049/ip-cta:20000759, Print ISSN 1350-2379, Online ISSN 1359-7035. 2000), Adaptive neural control of walking robots.

cle{, title {Design of Adaptive Robot Control System . 2018 IEEE 4th Information Technology and Mechatronics Engineering.

cle{, title {Design of Adaptive Robot Control System Using Recurrent Neural Network}, author {Sahin Yildirim}, journal {Journal of Intelligent and Robotic Systems}, year {2005}, volume {44}, pages {247-261} }. Sahin Yildirim. Published in Journal of Intelligent and Robotic Systems 2005. The use of a new Recurrent Neural Network (RNN) for controlling a robot manipulator is presented in this paper. The RNN is a modification of Elman network. 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC).

An important title in the “Engineering Research Series”Adaptive Neural Control of Walking Robots brings togethertwo important areas of technological development: adaptive neuralcontrol and mobile/walking robots. The development and managementof locomotoryrobots has not only produced machines that are useful on unevenground, for climbing walls, in dangerous or hostile environments,and in remote situations, but has also been responsible for someexcellent engineering andtechnological solutions in the field of responsiveor adaptive control.

Adaptive Neural Control of Walking Robots will be ofinterest to engineers and research establishments working on thepractical or industrial application of climbing and walking robots.The book will also interest thoseconcerned with robot control systems, adaptive neural control, andapplications of autonomous or programmable machine behaviour inmultijointedsystems.

COMPLETE CONTENTS:

Introduction and background