Robust adaptive type-2 fuzzy logic controller design for a flexible air-breathing hypersonic vehicle

Author(s):  
Fang Yang ◽  
Jianqiang Yi ◽  
Xiangmin Tan ◽  
Ruyi Yuan
Author(s):  
Emer Bernal ◽  
Marylu L. Lagunes ◽  
Oscar Castillo ◽  
José Soria ◽  
Fevrier Valdez

2020 ◽  
Vol 39 (5) ◽  
pp. 6169-6179
Author(s):  
Fevrier Valdez ◽  
Oscar Castillo ◽  
Prometeo Cortes-Antonio ◽  
Patricia Melin

In this paper, we are presenting a survey of research works dealing with Type-2 fuzzy logic controllers designed using optimization algorithms inspired on natural phenomena. Also, in this review, we analyze the most popular optimization methods used to find the important parameters on Type-1 and Type-2 fuzzy logic controllers to improve on previously obtained results. To this end have included a summary of the results obtained from the web of science database to observe the recent trend of using optimization methods in the area of optimal type-2 fuzzy logic control design. Also, we have made a comparison among countries of the network of researchers using optimization methods to analyze the distribution and impact of the papers.


2014 ◽  
Vol 285 ◽  
pp. 35-49 ◽  
Author(s):  
Ricardo Martínez-Soto ◽  
Oscar Castillo ◽  
Luis T. Aguilar

2013 ◽  
Vol 5 (3) ◽  
pp. 193-208 ◽  
Author(s):  
Manoj Kumar Panda ◽  
G. N. Pillai ◽  
Vijay Kumar

Author(s):  
Chaojun Yu ◽  
Ju Jiang ◽  
Shuo Wang ◽  
Bing Han

This paper proposes a novel fixed-time adaptive general type-2 fuzzy logical control (FAGT2FLC) scheme for an air-breathing hypersonic vehicle (AHV) with uncertainties. Firstly, the AHV dynamic model is transformed into a strict feedback form. Then, the FAGT2FLC is designed based on the transformed model to improve robustness and guarantee fixed-time convergence of the closed-loop system. The general type-2 fuzzy logic system (GT2FLS) is utilized to approximate the model uncertainties; for the purpose of designing adaptive laws, the [Formula: see text]-plane method is employed to represent the GT2FLS. A parameter projection operator is used to solve the possible singularity problem of parameter adaption. Besides, a fixed-time differentiator is used to deal with the “explosion of terms” inherent in backstepping method. Theoretical analysis based on relevant lemmas shows that the closed-loop system will converge into a small error band in fixed time. Lastly, detailed simulations are carried out to demonstrate the effectiveness and superiority of the proposed control scheme.


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