Genetic algorithms for tuning fuzzy membership functions in flight control software /
"Cruise" are defined in a rulebase file, along with fuzzy
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1995.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | "Cruise" are defined in a rulebase file, along with fuzzy based on a parameterized genetic algorithm (GA) was developed Because the FMI is meant to operate on numerous aircraft, it commercial aircraft to their general aviation brethren. One construction of independent rulebases for different aircraft expected partitions of the aircraft state space. The FMI Expert Builder, this tool aids in the development of flight instruments. Flight modes such as "Takeoff' and flight mode based on applying aircraft sensor data to the Flight Mode Interpreter (FMI). The FMI performs real-time, FMI, it was discovered that the construction of these fuzzy has been beset by flagging membership and substantial has pursued research in the area of general aviation cockpit head start in the development of rulebases, and also proved high-level situation recognition based on data from aircraft improve training programs, and increase safety factors, the In the past twenty years, the U.S. general aviation industry increases in operating costs. In an attempt to reduce costs, Knowledge Based Control Systems Group at Texas A&M University management. This research has investigated low-cost MBFs which allowed the FMI to make correct decisions was not. membership functions (MBFs) which map the flight modes to not produce final, polished solutions, it provides a valuable process used to generate first-cut MBFS. While the tool does project developed during the course of this research was a rulebase development process. This would allow the rulebases for the FMI by automating the trial-and-error rulebases was a tedious and time-consuming task. Defining rules contained in the rulebase. During development of the solutions which bring the sophisticated cockpit technology of studied and functionally verified. the flight modes to be recognized was simple, but developing to address this need for automation. Known as the GAPATS to be a useful mechanism by which the FMI software may be to proceed in the most efficient manner possible. A solution uses a fuzzy logic inference engine to determine the current was advantageous to study methods for automating parts of the |
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| Item Description: | "Major subject: Electrical Engineering". Vita. |
| Physical Description: | xii, 225 leaves : illustrations ; 28 cm. Also available online. Issued also on microfiche from Lange Micrographics. |
| Bibliography: | Includes bibliographical references. |