Intelligent control systems and fuzzy controllers. II: Trained fuzzy controllers, fuzzy PID controllers
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Publication:828002
DOI10.1134/S0005117920050112zbMath1455.93109OpenAlexW3022831649MaRDI QIDQ828002
Publication date: 14 January 2021
Published in: Automation and Remote Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s0005117920050112
stability conditionsdefuzzificationintelligent controlmembership functionfuzzificationsimulinklogical-linguistic controllersTS-modelgenetics controllerslearning fuzzy controllersthe ANFIS structurethe sugeno and mamdani controllers
Uses Software
Cites Work
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- NN-driven fuzzy reasoning
- Intelligent control systems and fuzzy controllers. I: Fuzzy models, logical-linguistic and analytical regulators
- Analytical structures and analysis of the simplest fuzzy PI controllers
- Typical Takagi-Sugeno PI and PD fuzzy controllers: Analytical structures and stability analysis
- Fuzzy control. Fundamentals, stability and design of fuzzy controllers.
- Quantitative design and analysis of fuzzy proportional-integralderivative control a step towards autotuning
- Genetic algorithms for fuzzy control.1. Offline system development and application
- Neural-network-based fuzzy logic control and decision system
- Fuzzy Controller Design
- Fuzzy artmap neural network and its application to fault diagnosis of navigation systems
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