The Resource Neural networks for modelling and control of dynamic systems : a practitioner's handbook, M. Nørgaard [and others]

Neural networks for modelling and control of dynamic systems : a practitioner's handbook, M. Nørgaard [and others]

Label
Neural networks for modelling and control of dynamic systems : a practitioner's handbook
Title
Neural networks for modelling and control of dynamic systems
Title remainder
a practitioner's handbook
Statement of responsibility
M. Nørgaard [and others]
Contributor
Subject
Language
eng
Summary
"This book provides a comprehensive introduction to the most popular class of neural network, the multilayer perception, and shows how it can be used for system identification and control. It aims to provide the reader with a sufficient theoretical background to understand the characteristics of different methods, to be aware of the pit-falls and to make proper decisions in all situations." "The book is very application-oriented and gives detailed and pragmatic recommendations that guide the user through the plethora of methods suggested in the literature. Furthermore, it attempts to introduce sound working procedures that can lead to efficient neural network solutions. This will make the book invaluable to the practitioner and as a textbook in courses with a significant hands-on component."--Jacket
Member of
Cataloging source
DLC
Index
index present
LC call number
QA76.87
LC item number
.N4847 2000
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Nørgaard, Magnus
http://library.link/vocab/subjectName
  • Neural networks (Computer science)
  • Computer simulation
  • Automatic control
  • Nonlinear theories
  • Automatic control
  • Computer simulation
  • Neural networks (Computer science)
  • Nonlinear theories
Label
Neural networks for modelling and control of dynamic systems : a practitioner's handbook, M. Nørgaard [and others]
Instantiates
Publication
Bibliography note
Includes bibliographical references (p. [235]-242) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. Introduction -- 1.1. Background -- 1.2. Introduction to Multilayer Perceptron Networks -- 2. System Identification with Neural Networks -- 2.1. Introduction to System Identification -- 2.2. Model Structure Selection -- 2.3. Experiment -- 2.4. Determination of the Weights -- 2.5. Validation -- 2.6. Going Backwards in the Procedure -- 2.7. Recapitulation of System Identification -- 3. Control with Neural Networks -- 3.1. Introduction to Neural-Network-based Control -- 3.2. Direct Inverse Control -- 3.3. Internal Model Control (IMC) -- 3.4. Feedback Linearization -- 3.5. Feedforward Control -- 3.6. Optimal Control -- 3.7. Controllers Based on Instantaneous Linearization -- 3.8. Predictive Control -- 3.9. Recapitulation of Control Design Methods -- 4. Case Studies -- 4.1. The Sunspot Benchmark -- 4.2. Modelling of a Hydraulic Actuator -- 4.3. Pneumatic Servomechanism -- 4.4. Control of Water Level in a Conic Tank
Dimensions
24 cm.
Extent
xiv, 246 pages
Isbn
9781852332273
Lccn
99049801
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
  • (OCoLC)42578599
  • (OCoLC)ocm42578599
Label
Neural networks for modelling and control of dynamic systems : a practitioner's handbook, M. Nørgaard [and others]
Publication
Bibliography note
Includes bibliographical references (p. [235]-242) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. Introduction -- 1.1. Background -- 1.2. Introduction to Multilayer Perceptron Networks -- 2. System Identification with Neural Networks -- 2.1. Introduction to System Identification -- 2.2. Model Structure Selection -- 2.3. Experiment -- 2.4. Determination of the Weights -- 2.5. Validation -- 2.6. Going Backwards in the Procedure -- 2.7. Recapitulation of System Identification -- 3. Control with Neural Networks -- 3.1. Introduction to Neural-Network-based Control -- 3.2. Direct Inverse Control -- 3.3. Internal Model Control (IMC) -- 3.4. Feedback Linearization -- 3.5. Feedforward Control -- 3.6. Optimal Control -- 3.7. Controllers Based on Instantaneous Linearization -- 3.8. Predictive Control -- 3.9. Recapitulation of Control Design Methods -- 4. Case Studies -- 4.1. The Sunspot Benchmark -- 4.2. Modelling of a Hydraulic Actuator -- 4.3. Pneumatic Servomechanism -- 4.4. Control of Water Level in a Conic Tank
Dimensions
24 cm.
Extent
xiv, 246 pages
Isbn
9781852332273
Lccn
99049801
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
  • (OCoLC)42578599
  • (OCoLC)ocm42578599

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