A generalized type-2 fuzzy granular approach with applications to aerospace

被引：206
作者：
Castillo, Oscar [1 ]
Cervantes, Leticia [1 ]
Soria, Jose [1 ]
Sanchez, Mauricio [2 ]
Castro, Juan R. [2 ]
机构：
[1] Tijuana Inst Technol, Div Grad Studies & Res, Calzada Tecnol S-N, Fracc Tomas Aquino 22379, Tijuana, Mexico
[2] UABC Univ, Fac Engn, Calzada Tecnol S-N, Fracc Tomas Aquino 22379, Tijuana, Mexico
来源：
INFORMATION SCIENCES | 2016年 / 354卷
关键词：
Fuzzy logic; Generalized type-2 fuzzy system; Fuzzy control; Genetic algorithm; Granularity; ALPHA-PLANE REPRESENTATION; INTERVAL TYPE-2; SETS THEORY; OPTIMIZATION; SIMULATION; SYSTEMS; DESIGN;
D O I：
10.1016/j.ins.2016.03.001
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper a granular approach for intelligent control using generalized type-2 fuzzy logic is presented. Granularity is used to divide the design of the global controller into several individual simpler controllers. The theory of alpha planes is used to implement the generalized type-2 fuzzy systems. The proposed method for control is applied to a nonlinear control problem to test the advantages of the proposed approach. Also an optimization method is used to efficiently design the generalized type-2 fuzzy system to improve the control performance. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码：165 / 177
页数：13
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