A simple approach to mathematical modelling of integer order and fractional order fuzzy PID controllers using one-dimensional input space and their experimental realization
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Publication:2027420
DOI10.1016/J.JFRANKLIN.2021.03.010zbMath1464.93040OpenAlexW3137468233MaRDI QIDQ2027420
Publication date: 26 May 2021
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.03.010
Feedback control (93B52) Fuzzy control/observation systems (93C42) Fractional derivatives and integrals (26A33) Control/observation systems governed by ordinary differential equations (93C15)
Related Items (4)
A new type-3 fuzzy PID for energy management in microgrids ⋮ Fractional-order PID control of tipping in network congestion ⋮ Development, experimental validation, and comparison of interval type-2 Mamdani fuzzy PID controllers with different footprints of uncertainty ⋮ A Simplified Model of an Interval Type-2 Takagi-Sugeno Fuzzy PID Controller using One-Dimensional Input Space
Cites Work
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- Three-dimensional min--max-gravity based fuzzy PID inference analysis and tuning
- The simplest fuzzy PID controllers: mathematical models and stability analysis
- Tuning of fractional PID controllers with Ziegler-Nichols-type rules
- The simplest fuzzy controllers using different inference methods are different nonlinear proportional-integral controllers with variable gains
- Design and analysis of a fuzzy proportional-integral-derivative controller
- Structural analysis of fuzzy controllers with nonlinear input fuzzy sets in relation to nonlinear PID control with variable gains
- Realization of PID controls by fuzzy control methods
- Fractional PID Controllers for Industry Application. A Brief Introduction
- Fractional-order systems and PI/sup /spl lambda//D/sup /spl mu//-controllers
- Modeling, stability analysis and computational aspects of nonlinear fuzzy PID controllers
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