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Navigation of autonomous mobile robotsKeepence, B. S. January 1988 (has links)
No description available.
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Digital bank-to-turn control and guidanceMcConnell, George January 1988 (has links)
No description available.
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Fuzzy logic control of an automated guided vehicleBaxter, Jeremy January 1994 (has links)
This thesis describes the fuzzy logic based control system for an automated guided vehicle ( AGV ) designed to navigate from one position and orientation to another while avoiding obstacles. A vehicle with an onboard computer system and a beacon based location system has been used to provide experimental confirmation of the methods proposed during this research. A simulation package has been written and used to test control techniques designed for the vehicle. A series of navigation rules based upon the vehicle's current position relative to its goal produce a fuzzy fit vector, the entries in which represent the relative importance of sets defined over all the possible output steering angles. This fuzzy fit vector is operated on by a new technique called rule spreading which ensures that all possible outputs have some activation. An obstacle avoidance controller operates from information about obstacles near to the vehicle. A method has been devised for generating obstacle avoidance sets depending on the size, shape and steering mechanism of a vehicle to enable their definition to accurately reflect the geometry and dynamic performance of the vehicle. Using a set of inhibitive rules the obstacle avoidance system compiles a mask vector which indicates the potential for a collision if each one of the possible output sets is chosen. The fuzzy fit vector is multiplied with the mask vector to produce a combined fit vector representing the relative importance of the output sets considering the demands of both navigation and obstacle avoidance. This is operated on by a newly developed windowing technique which prevents any conflicts produced by this combination leading to an undesirable output. The final fit vector is then defuzzified to give a demand steering angle for the vehicle. A separate fuzzy controller produces a demand velocity. In tests carried out in simulation and on the research vehicle it has been shown that the control system provides a successful guidance and obstacle avoidance scheme for an automated vehicle.
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Real-time processing techniques for infra-red image understandingIrwin, Philip D. S. January 1989 (has links)
No description available.
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Estimation for homing guidanceKee, Ronald James January 1992 (has links)
No description available.
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Modern filter-controllers for bank-to-turn CLOS guidanceFleming, Ronald John January 1987 (has links)
No description available.
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A multi-loop guidance scheme using singular perturbation and linear quadratic regulator techniques simultaneously /Bushong, Philip Merton, January 1991 (has links)
Thesis (Ph. D.)--Virginia Polytechnic Institute and State University, 1991. / Vita. Abstract. Includes bibliographical references (leaves 68-71). Also available via the Internet.
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PRECOMPUTED STATE DEPENDENT DIGITAL CONTROL OF A NUCLEAR ROCKET ENGINEJohnson, Morris Ray, 1937- January 1972 (has links)
No description available.
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A study of guidance controllers for homing missiles /Stockum, Larry Allen January 1974 (has links)
No description available.
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Real-time guidance and propulsion control for single-stage-to-orbit airbreathing vehiclesCorban, J. Eric 12 1900 (has links)
No description available.
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