Document Type
Presentation
Publication Date
5-2001
Abstract
While fuzzy logic controllers are generally robust, the performance of a system whose behavior is not well understood, or that has a large number of coupled inputs and outputs, may be less than optimal. In this paper, nonlinear programming techniques are used to improve the performance of a fuzzy logic controller for navigating an autonomous vehicle.
Keywords
Control theory; Feedback control systems -- Dynamics -- Mathematical models; Fuzzy logic; Intelligent control systems; Nonlinear programming
Disciplines
Acoustics, Dynamics, and Controls | Applied Mathematics | Computer-Aided Engineering and Design | Controls and Control Theory | Electrical and Computer Engineering | Mechanical Engineering | Non-linear Dynamics
Language
English
Permissions
Use Find in Your Library, contact the author, or use interlibrary loan to garner a copy of the article. Publisher copyright policy allows author to archive post-print (author’s final manuscript). When post-print is available or publisher policy changes, the article will be deposited
Repository Citation
Trabia, M.
(2001, May).
Design of Fuzzy Logic Controllers for Optimal Performance.
Available at: https://digitalscholarship.unlv.edu/me_presentations/3
Included in
Acoustics, Dynamics, and Controls Commons, Computer-Aided Engineering and Design Commons, Controls and Control Theory Commons, Non-linear Dynamics Commons
Comments
Presented at: Faculty of Engineering, Zagazig University, Zagazig, Egypt, as part of a series of invited lectures on tuning fuzzy logic controllers.