期刊
INFORMATION SCIENCES
卷 324, 期 -, 页码 247-256出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2015.06.047
关键词
Type-2 fuzzy logic; Genetic algorithms; fuzzy control; fuzzy systems
This paper presents a proposed new approach for complex control combining several simpler individual fuzzy controllers. This method is particularly useful when the case of study is a multivariable control system. The proposed method has a hierarchical architecture with 2 levels (individual fuzzy systems and a superior control to adjust the global result). The behavior of the proposed method is illustrated with a problem of flight control that requires several individual controllers. In addition a statistical comparison is performed using the t student test, where the proposed control strategy is compared against a simple fuzzy control approach. Finally, an optimization method is also applied to achieve an optimal design of the fuzzy systems. (C) 2015 Elsevier Inc. All rights reserved.
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