Neural Networks for Control (Neural Network Modeling and Connectionism) (Neural Networks for Control)

by W. Thomas Miller and etc.

W. Thomas Miller III (Editor), Richard S. Sutton (Editor), Paul J. Werbos (Editor), and Robert Hanna (Editor)

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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
  • ISBN10 0262132613
  • ISBN13 9780262132619
  • Publish Date 10 January 1991
  • Publish Status Transferred
  • Out of Print 14 June 2001
  • Publish Country US
  • Publisher MIT Press Ltd
  • Imprint MIT Press
  • Format Hardcover
  • Pages 544
  • Language English