Developing an Interval Type-2 TSK Fuzzy Logic Controller

被引：0

作者：

Enyinna, Nnamdi ^{[1
]}

Karimoddini, Ali ^{[1
]}

Opoku, Daniel ^{[2
]}

Homaifar, Abdollah ^{[1
]}

Arnold, Shannon ^{[3
]}

机构：

[1] North Carolina Agr & Technol State Univ, Dept Elect & Comp Engn, Greensboro, NC 27411 USA

[2] Mercury Data Syst, Lexington, KY USA

[3] Lead Test Resource Management Ctr, Unmanned & Autonomous Syst Test, Alexandria, VA 22350 USA

来源：

2015 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY DIGIPEN NAFIPS 2015 | 2015年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Type-2 Fuzzy Logic Controllers offer great capabilities in modeling and handling the effects of real world uncertainties from sensors, actuators and the environment. Nevertheless, the general Type-2 Fuzzy Logic Controllers enormously suffer from high computation cost. To overcome this problem, in this paper, we present a computationally effective Type-2 Fuzzy Logic Controller which uses Interval Type2 fuzzy sets to capture the control inputs and utilizes the Takagi-Sugeno-Kang technique to render the control outputs. It is shown that the proposed technique greatly reduces the computation cost since only the lower and upper bounds of the input fuzzy sets suffice to calculate the control output.

引用

页数：6

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