Design of Fuzzy Logic Controllers for Optimal Performance
Fuzzy logic controllers are gaining a wide recognition in many industrial applications since they are generally robust under varying operating conditions. However, it may be difficult to design a good controller when observations about the system are scarce or when the system has large number of inputs and outputs. These limitations may result in a system with less than optimal performance. This paper presents an algorithm for optimizing the performance of a fuzzy logic controller using nonlinear programming techniques. As an example, this method is applied to the problem of designing a fuzzy logic controller for the navigation of an autonomous vehicle. The results of the computer simulation and comparison with other techniques for designing fuzzy logic controller are presented and discussed.
Automatic control; Automobiles — Automatic control; Automobiles—Navigation systems; Control theory; Fuzzy logic; Mathematical optimization
Acoustics, Dynamics, and Controls | Applied Mathematics | Artificial Intelligence and Robotics | Computer-Aided Engineering and Design | Controls and Control Theory | Control Theory | Electrical and Computer Engineering | Mechanical Engineering
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McCarthy, W. E.
Design of Fuzzy Logic Controllers for Optimal Performance.
Journal of Intelligent and Fuzzy Systems, 6(4),