fuzzy control
Recently Published Documents


TOTAL DOCUMENTS

7887
(FIVE YEARS 1701)

H-INDEX

104
(FIVE YEARS 37)

Author(s):  
Viji Karthikeyan ◽  
Anil Kumar Tiwari ◽  
Agalya Vedi ◽  
Buvana Devaraju

The major thrust of the paper is on designing a fuzzy logic approach has been combined with a well-known robust technique discrete sliding mode control (DSMC) to develop a new strategy for discrete sliding mode fuzzy control (DSMFC) in direct current (DC-DC) converter. Proposed scheme requires human expertise in the design of the rule base and is inherently stable. It also overcomes the limitation of DSMC, which requires bounds of uncertainty to be known for development of a DSMC control law. The scheme is also applicable to higher order systems unlike model following fuzzy control, where formation of rule base becomes difficult with rise in number of error and error derivative inputs. In this paper the linearization of input-output performance is carried out by the DSMFC algorithm for boost converter. The DSMFC strategy minimizes the chattering problem faced by the DSMC. The simulated performance of a discrete sliding mode fuzzy controller is studied and the results are investigated.


2022 ◽  
Vol 8 ◽  
pp. 552-559
Author(s):  
Jun Zhao ◽  
Lianghao Li ◽  
Zhenyu Li ◽  
Zheng Chen ◽  
Long Xiao ◽  
...  

Author(s):  
Zichong Chen ◽  
Xianwen Luo

Aiming at the problem of low baud rate of traditional high-resolution image synchronous acquisition fuzzy control method, a high-resolution image synchronous acquisition fuzzy control method based on machine learning is designed. By detecting the fuzzy edge information of high-resolution image, the fuzzy membership function of synchronous acquisition quantity is proposed, and the gradient amplitude of synchronous acquisition quantity of high-resolution image is calculated. The unsupervised learning algorithm based on machine learning is used to cluster the fuzzy control data, so as to determine the fuzzy space of synchronous acquisition quantity of high-resolution image, and calculate the fuzzy feature similarity, the fuzzy control of synchronous acquisition quantity of high resolution image is realized. Experimental results show that the controlled wave rate in this paper solves the problem of low wave rate in 255.63 bps/h-271.33 bps/h, and significantly improves the control accuracy.


2022 ◽  
Vol 40 (3) ◽  
pp. 1043-1057
Author(s):  
Yanzan Han ◽  
Huawen Zhang ◽  
Zengfang Shi ◽  
Shuang Liang

Solar Energy ◽  
2022 ◽  
Vol 231 ◽  
pp. 328-342
Author(s):  
Naji Abdenouri ◽  
Ahmed Zoukit ◽  
Issam Salhi ◽  
Said Doubabi

2022 ◽  
Vol 70 (2) ◽  
pp. 2319-2346
Author(s):  
Buddhadeva Sahoo ◽  
Sangram Keshari Routray ◽  
Pravat Kumar Rout ◽  
Mohammed M. Alhaider
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document