NDLI: Agent Based Ground Flight Control Using Type-2 Fuzzy Logic and Hybrid Ant Colony Optimization to a Dynamic Environment

Content Provider	IEEE Xplore Digital Library
Author	Poornaselvan, K.J. Kumar, T.G. Vijayan, V.P.
Copyright Year	2008
Description	Author affiliation: Dept. of EEE, Gov. Coll. of Technol., Coimbatore (Poornaselvan, K.J.)
Abstract	The main objective of this paper/project is to focus on an Agent based approach to flight control in ground/runway. Here we are trying to provide a autonomous control on flight once it comes to runway. In all airport there is a particular structure for runway, Like main runways, sub runways, different tracks. In an International air port there will be a busy traffic. There will be more flights and other ground vehicles. By using this particular system we can move the flight from one location to another, totally through wireless control. For a better autonomous control level of intelligence matters. A type 2 fuzzy interval controller can be applied to the autonomous vehicle in order to handle uncertainty in a better way. Ant colony optimization technique can be used for a optimized path planning in traffic environment with more number of flight. We are using a hybrid ant colony optimization to handle real time dynamic environment and path planning. Both Agent based and type-2 fuzzy together with Ant Colony Optimization technique is used to achieve another level of intelligence.
Starting Page	343
Ending Page	348
File Size	303411
Page Count	6
File Format	PDF
ISBN	9780769532677
DOI	10.1109/ICETET.2008.85
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-16
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ant colony optimization Wireless LAN Multi agent system Image edge detection Force Cameras Type-2 fuzzy systems Hybrid Ant colony optimization Distance measurement Artificial potential field Vehicle dynamics Dynamic environment
Content Type	Text
Resource Type	Article

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