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عنوان
Neural networks for robotics :

پدید آورنده
Nancy Arana-Daniel, Carlos Lopez-Franco, Alma Y. Alanis.

موضوع
Neural networks (Computer science),Robots-- Control systems.,Neural networks (Computer science),Robots-- Control systems.,TECHNOLOGY & ENGINEERING-- Engineering (General)

رده
TJ211
.
35
.
A73
2019

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1351231774
(Number (ISBN
1351231782
(Number (ISBN
1351231790
(Number (ISBN
9781351231770
(Number (ISBN
9781351231787
(Number (ISBN
9781351231794
Erroneous ISBN
0815378688
Erroneous ISBN
9780815378686

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Neural networks for robotics :
General Material Designation
[Book]
Other Title Information
an engineering perspective /
First Statement of Responsibility
Nancy Arana-Daniel, Carlos Lopez-Franco, Alma Y. Alanis.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boca Raton, FL :
Name of Publisher, Distributor, etc.
CRC Press/Taylor & Francis Group,
Date of Publication, Distribution, etc.
[2019]

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (229 pages)

GENERAL NOTES

Text of Note
6.5 Visual Servo Control

CONTENTS NOTE

Text of Note
Cover; Half Title; Title; Copyright; Dedication; Contents; Preface; Abbreviations; Chapter 1 Recurrent High Order Neural Networks for Rough Terrain Cost Mapping; 1.1 Introduction; 1.1.1 Mapping background; 1.2 Recurrent High Order Neural Networks, RHONN; 1.2.1 RHONN order; 1.2.2 Neural network training; 1.2.2.1 Kalman lter; 1.2.2.2 Kalman lter training; 1.2.2.3 Extended Kalman lter-based training algorithm, EKF; 1.3 Experimental Results: Identi cation of Costs Maps Using RHONNs; 1.3.1 Synthetic dynamic environments; 1.3.1.1 Synthetic dynamic random environment number 1
Text of Note
1.3.1.2 Synthetic dynamic random environment number 21.3.1.3 Synthetic dynamic random environment number 3; 1.3.2 Experiments using real terrain maps; 1.3.2.1 Real terrain map: grove environment; 1.3.2.2 Real terrain map: golf course; 1.3.2.3 Real terrain map: forest; 1.3.2.4 Real terrain map: rural area; 1.4 Conclusions; Chapter 2 Geometric Neural Networks for Object Recognition; 2.1 Object Recognition and Geometric Representations of Objects; 2.1.1 Geometric representations and descriptors of real objects; 2.2 Geometric Algebra: An Overview; 2.2.1 The geometric algebra of n-D space
Text of Note
2.2.2 The geometric algebra of 3-D space2.2.3 Conformal geometric algebra; 2.2.4 Hyperconformal geometric algebra; 2.2.5 Generalization of G6; 3 into G2n; n; 2.3 Cli ord SVM; 2.3.1 Quaternion valued support vector classi er; 2.3.2 Experimental results; 2.4 Conformal Neuron and Hyper-Conformal Neuron; 2.4.1 Hyperellipsoidal neuron; 2.4.2 Experimental results; 2.5 Conclusions; Chapter 3 Non-Holonomic Robot Control Using RHONN; 3.1 Introduction; 3.2 RHONN to Identify Uncertain Discrete-Time Nonlinear Systems; 3.3 Neural Identi cation; 3.4 Inverse Optimal Neural Control
Text of Note
3.5 IONC for Non-Holonomic Mobile Robots3.5.1 Robot model; 3.5.2 Wheeled robot; 3.5.2.1 Controller design; 3.5.2.2 Neural identi cation of a wheeled robot; 3.5.2.3 Inverse optimal control of a wheeled robot; 3.5.2.4 Experimental results; 3.5.3 Tracked robot; 3.5.3.1 Controller design; 3.5.3.2 Results; 3.6 Conclusions; Chapter 4 NN for Autonomous Navigation on Non-Holonomic Robots; 4.1 Introduction; 4.2 Simultaneous Localization and Mapping; 4.2.1 Prediction; 4.2.2 Observations; 4.2.3 Status update; 4.3 Reinforcement Learning; 4.4 Inverse Optimal Neural Controller
Text of Note
4.4.1 Planning-Identi er-Controller4.5 Experimental Results; 4.6 Conclusions; Chapter 5 Holonomic Robot Control Using Neural Networks; 5.1 Introduction; 5.2 Optimal Control; 5.3 Inverse Optimal Control; 5.4 Holonomic Robot; 5.4.1 Motor dynamics; 5.4.2 Neural identi cation design; 5.4.3 Control design; 5.4.4 Omnidirectional mobile robot kinematics; 5.5 Visual Feedback; 5.6 Simulation; 5.7 Conclusions; Chapter 6 Neural Network-Based Controller for Unmanned Aerial Vehicles; 6.1 Introduction; 6.2 Quadrotor Dynamic Modeling; 6.3 Hexarotor Dynamic Modeling; 6.4 Neural Network-Based PID
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8
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ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Ingram Content Group
Stock Number
9781351231787

OTHER EDITION IN ANOTHER MEDIUM

Title
Neural Networks for Robotics : An Engineering Perspective.
International Standard Book Number
9780815378686

TOPICAL NAME USED AS SUBJECT

Neural networks (Computer science)
Robots-- Control systems.
Neural networks (Computer science)
Robots-- Control systems.
TECHNOLOGY & ENGINEERING-- Engineering (General)

(SUBJECT CATEGORY (Provisional

TEC-- 009000

DEWEY DECIMAL CLASSIFICATION

Number
629
.
8/92632
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
TJ211
.
35
Book number
.
A73
2019

PERSONAL NAME - PRIMARY RESPONSIBILITY

Arana-Daniel, Nancy

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Alanis, Alma Y.
Lopez-Franco, Carlos.

ORIGINATING SOURCE

Date of Transaction
20200822134841.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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