Theis (Ed.D.)--University of Tulsa, 1977. / Bibliography: leaves 44-46.

Thesis (M.S. in Aeronautical Engineering)--Naval Postgraduate School, September 1990. / Thesis Advisor(s): Collins, Daniel J. Second Reader: Schmidt, Louis V. "September 1990." DTIC Identifier(s): Neural Nets, Flight Control Systems, Adaptive Control Systems, Computer Programs, Parallel Processing, Distributed Data Processing, Theses, Attack Aircraft, Equations of Motion, Control Theory, A-4 Aircraft. Author(s) subject terms: Neural Networks, Adaptive Control, Backpropagation, Parameter Estimation, Parallel Distributed Processing. Includes bibliographical references (p. 41). Also available in print.

Thesis (M.S. in Computer Science)--Naval Postgraduate School, June 2003. / Thesis advisor(s): Cynthia Irvine, Timothy Levin. Includes bibliographical references (p. 91-92). Also available online.

Thesis (M.A.)--Northern Kentucky University, 2008. / Made available through ProQuest. Publication number: AAT 1457773. ProQuest document ID: 1619618981. Includes bibliographical references (p. 47-50)

M.Sc. / This thesis investigates how intelligent agents can be used to solve airline scheduling problems. It is divided into three parts. The first states what airline scheduling consists of; the second discusses the results of a literature study; and the third consists of solutions to the problem. Airline scheduling consists of three major activities viz. market-driven flight generation, crew assignment and operational problem management. The market schedulers first create a flight set based on a forecast of passenger numbers and passenger preferences. The crew schedulers attempt to crew the flights generated by the market schedulers (subject to safety and rest regulations). The operational schedulers maintain the flights from seven days prior to the day of operation to one day after the end of the flight. Finding a global solution to this three-phase operation is the airline scheduling problem. An agent-based solution to the airline scheduling problem was the focus of this thesis. Agents encapsulate many useful artificial intelligence solution strategies. For the proposed solution to the market driven scheduling problem a distributed negotiation scheme using agents was used. A routing and an assignment agent were defined to assist the crew scheduler. Finally an operational scheduling agent was defined to solve the operational scheduling problem. The routing and assignment agents make use of FIFOqueues and genetic algorithms. The operational scheduling agent makes use of a traditional expert system combined with a learning algorithm to give it more flexibility. A prototype, developed in Java, was used to demonstrate how agents could solve the market driven scheduling problem. This distributed negotiation scheme was implemented on Sun SPARC workstations running the Solaris operating system. A prototype developed in Delphi was also developed to show how learning algorithms could be applied to the scheduling environment.

Thesis (Ph.D)--Aerospace Engineering, Georgia Institute of Technology, 2009. / Committee Chair: Costello, Mark. Part of the SMARTech Electronic Thesis and Dissertation Collection.

A new hybrid micro vehicle, called the Hopping Rotochute, was developed to robustly explore environments with rough terrain while minimizing energy consumption over extended periods of time. Unlike traditional robots, the Hopping Rotochute maneuvers through complex terrain by hopping over or through impeding obstacles. A small coaxial rotor system provides the necessary lift while a movable internal mass controls the direction of travel. In addition, the low mass center and egg-like shaped body creates a means to passively reorient the vehicle to an upright attitude when in ground contact while protecting the rotating components. The design, fabrication, and testing of a radio-controlled Hopping Rotochute prototype as well as an analytical study of the flight performance are documented. The aerodynamic, mechanical, and electrical design of the prototype is outlined which were driven by the operational requirements assigned to the vehicle. The aerodynamic characteristics of the rotor system as well as the damping characteristics of the foam base are given based on experimental results using a rotor test stand and a drop test stand respectively. Experimental flight testing results using the prototype are outlined which demonstrate that all design and operational requirements are satisfied. A dynamic model associated with the Hopping Rotochute is then developed including a soft contact model which estimates the forces and moments on the vehicle during ground contact. A comparison between the vehicle's motion measured using a motion capture system and the simulation results are presented to determine the validity of the experimentally-tuned dynamic model. Using this validated simulation model, key parameters such as system weight, rotor speed profile, internal mass weight and location, as well as battery capacity are varied to explore the flight performance characteristics. The sensitivity of the hopping rotochute to atmospheric winds is also investigated as well as the ability of the device to perform trajectory shaping.