Neural Networks for Control
MIT Press
Published on 10. January 1991
Book
Hardback
544 pages
978-0-262-13261-9 (ISBN)
Description
Neural Networks for Control highlights key issues in learning control and identifies research directions that could lead to practical solutions for control problems in critical application domains. It addresses general issues of neural network based control and neural network learning with regard to specific problems of motion planning and control in robotics, and takes up application domains well suited to the capabilities of neural network controllers. The appendix describes seven benchmark control problems. ContributorsAndrew G. Barto, Ronald J. Williams, Paul J. Werbos, Kumpati S. Narendra, L. Gordon Kraft, III, David P. Campagna, Mitsuo Kawato, Bartlett W. Met, Christopher G. Atkeson, David J. Reinkensmeyer, Derrick Nguyen, Bernard Widrow, James C. Houk, Satinder P. Singh, Charles Fisher, Judy A. Franklin, Oliver G. Selfridge, Arthur C. Sanderson, Lyle H. Ungar, Charles C. Jorgensen, C. Schley, Martin Herman, James S. Albus, Tsai-Hong Hong, Charles W. Anderson, W. Thomas Miller, III
More details
Series
Language
English
Place of publication
Cambridge, Mass.
United States
Publishing group
MIT Press Ltd
Target group
College/higher education
Professional and scholarly
US School Grade: From College Freshman to College Graduate Student
Product notice
Cloth over boards
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 34 mm
Weight
1043 gr
ISBN-13
978-0-262-13261-9 (9780262132619)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

W. Thomas Miller | Richard S. Sutton | Paul J. Werbos
Neural Networks for Control
Book
03/1995
MIT Press
€12.32
Article exhausted; check different version
Persons
Editor
University of New Hampshire
University of Alberta
University of Colorado