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.
Control theory; Feedback control systems -- Dynamics -- Mathematical models; Fuzzy logic; Intelligent control systems; Nonlinear programming
Acoustics, Dynamics, and Controls | Applied Mathematics | Computer-Aided Engineering and Design | Controls and Control Theory | Electrical and Computer Engineering | Mechanical Engineering | Non-linear Dynamics
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Design of Fuzzy Logic Controllers for Optimal Performance.
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