Three-dimensional min--max-gravity based fuzzy PID inference analysis and tuning

DOI10.1016/j.fss.2005.05.008zbMath1082.93029OpenAlexW1976600314MaRDI QIDQ812581

Raymond G. Gosine, George K. I. Mann

Publication date: 24 January 2006

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2005.05.008

zbMATH Keywords

fuzzy controlclosed-form solutioncontroller tuningfuzzy PIDmin-max-gravity reasoningthree-input inference

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42)

Related Items (4)

Design of fuzzy PID controllers using modified triangular membership functions ⋮ Generic two-degree-of-freedom linear and fuzzy controllers for integral processes ⋮ A simple approach to mathematical modelling of integer order and fractional order fuzzy PID controllers using one-dimensional input space and their experimental realization ⋮ Modeling, stability analysis and computational aspects of nonlinear fuzzy PID controllers

Cites Work

• Fuzzy control theory: A nonlinear case
• Theoretical and linguistic aspects of the fuzzy logic controller
• Fuzzy control rules and their natural control laws
• The simplest fuzzy controllers using different inference methods are different nonlinear proportional-integral controllers with variable gains
• A general technique for deriving analytical structure of fuzzy controllers using arbitrary trapezoidal input fuzzy sets and Zadeh AND operator.
• Fuzzy PID controller: Design, performance evaluation, and stability analysis
• 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
• Analytic formulation of linguistic rules for fuzzy controller
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