Global ETD Search

41	An immunity-based distributed multiagent control framework Wong, Wing-ki, Vicky, January 2006 (has links) Thesis (Ph. D.)--University of Hong Kong, 2006. / Title proper from title frame. Also available in printed format.
42	Inducing fuzzy reasoning rules from numerical data / Wu, Jiangning. January 2001 (has links) Thesis (Ph. D.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 187-198).
43	Evolutionary design of fuzzy-logic controllers for overhead cranes / Cheung, Tai-yam. January 2001 (has links) Thesis (Ph. D.)--University of Hong Kong, 2002. / Includes bibliographical references (leaves 524-542).
44	Visual place categorization Wu, Jianxin. January 2009 (has links) Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2010. / Committee Chair: Rehg, James M.; Committee Member: Christensen, Henrik; Committee Member: Dellaert, Frank; Committee Member: Essa, Irfan; Committee Member: Malik, Jitendra. Part of the SMARTech Electronic Thesis and Dissertation Collection.
45	Motion capture-driven simulations that hit and react Zordan, Victor B. January 2002 (has links) No description available. Computer animation Human mechanics Computer simulation Intelligent control systems
46	Reconfigurable control using polynomial neural networks Ramani, Vipin 12 1900 (has links) No description available. Neural networks (Computer science) Automatic control Intelligent control systems
47	Machining fixture synthesis using the genetic algorithm Kulankara, Krishnakumar 05 1900 (has links) No description available. Genetic algorithms Machine-tools Machining Intelligent control systems
48	A torso driven walking algorithm for dynamically balanced variable speed biped robots Sutherland, Alistair James January 2007 (has links) As a contribution toward the objective of developing useful walking machines, this dissertation considers solutions to some of the problems involved with bipedal robot development. The main area of focus involves control system design and implementation for dynamically balanced walking robots. A new algorithm “Torso Driven Walking” is presented, which reduces the complexity of the control problem to that of balancing the robot’s torso. All other aspects of the system are indirectly controlled by the changing robot state resulting from direct control of the robot’s torso. The result is literally a “top-down” approach to control, where the control system actively balances the top-most component of the robot’s body, leaving the control of the lower limbs to a passive “state-driven” system designed to ensure the robot always keeps at least one leg between the torso and the ground. A series of low-cost robots and simulation systems have been constructed as experimental platforms for testing the proposed new control system. The robots have been designed to balance on “point” feet, and so the control system must be able to dynamically maintain balance, while moving at a variable velocity. The Torso Driven Walking control system achieves a fully dynamic, variable speed walking behaviour that does not rely on maintaining a stable supporting polygon for balance. In addition, the system exhibits a high degree of tolerance for low frequency “bias” or “drift” errors. These measurement errors are commonly encountered when using sensors for detecting torso inclination. Intelligent control systems Robots -- Motion Walking Robotic walking
49	A comparison of binaural ultrasonic sensing systems Stanley, Benjamin David. January 2003 (has links) Thesis (Ph.D.)--University of Wollongong, 2003. / Typescript. Bibliographical references: leaf 461-470.
50	The development of an integrated process operation management system / Power, Yvonne. January 2004 (has links) Thesis (Ph.D.) --Murdoch University, 2004. / Thesis submitted to the Division of Science and Engineering. Includes bibliographical references.

Search results