A general technique for deriving analytical structure of fuzzy controllers using arbitrary trapezoidal input fuzzy sets and Zadeh AND operator.

DOI10.1016/S0005-1098(03)00086-4zbMath1058.93036OpenAlexW2023338078MaRDI QIDQ1398391

Hao Ying

Publication date: 29 July 2003

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0005-1098(03)00086-4

zbMATH Keywords

fuzzy controlPID controlanalytical structuretrapezoidal input fuzzy setsZadeh fuzzy AND operator

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Design techniques (robust design, computer-aided design, etc.) (93B51)

Related Items (5)

Structural analysis of fuzzy controllers with nonlinear input fuzzy sets in relation to nonlinear PID control with variable gains ⋮ Probabilistic fuzzy logic controller for uncertain nonlinear systems ⋮ Mathematical modeling and computational study of the simplest fuzzy two-term controllers via height defuzzification ⋮ From Nonlinear to Fuzzy Approaches in Trajectory Tracking Control of Wheeled Mobile Robots ⋮ Three-dimensional min--max-gravity based fuzzy PID inference analysis and tuning

Cites Work

• Unnamed Item
• Unnamed Item
• Fuzzy control theory: A nonlinear case
• General analytical structure of typical fuzzy controllers and their limiting structure theorems
• Theoretical analysis of a fuzzy-logic controller with unequally spaced triangular membership functions
• Studies on the output of fuzzy controller with multiple inputs
• The simplest fuzzy controllers using different inference methods are different nonlinear proportional-integral controllers with variable gains
• Practical design of nonlinear fuzzy controllers with stability analysis for regulating processes with unknown mathematical models
• A nonlinear fuzzy controller with linear control rules is the sum of a global two-dimensional multilevel relay and a local nonlinear proportional-integral controller
• Analytical structure of the typical fuzzy controllers employing trapezoidal input fuzzy sets and nonlinear control rules
• The explicit linear quadratic regulator for constrained systems

This page was built for publication: A general technique for deriving analytical structure of fuzzy controllers using arbitrary trapezoidal input fuzzy sets and Zadeh AND operator.