Logical Linguistic Controllers
| Autor: | Fedor F. Pashchenko, S.N. Vassilyev, I.Y. Kudinov, Yu. I. Kudinov |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Structure (mathematical logic)
Adaptive neuro fuzzy inference system Artificial neural network Computer science business.industry Stability (learning theory) PID controller 020206 networking & telecommunications 02 engineering and technology Machine learning computer.software_genre Fuzzy logic Control theory Control system 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing Artificial intelligence business computer General Environmental Science |
| Zdroj: | Procedia Computer Science. 103:629-636 |
| ISSN: | 1877-0509 |
| Popis: | The logical-linguistic, analytical, learning and PID fuzzy controllers are considered, based on fuzzy logics of Zadeh. An overview of the Mamdani-type controllers, controllers based on TS-model and the ANFIS architecture, using neural network structure is provided. The conditions of optimality and stability of control systems with Mamdani fuzzy controllers are analyzed. The Sugeno dynamic models and the ANFIS adaptive models and the methods of learning developed on the basis of fuzzy controllers are considered. |
| Databáze: | OpenAIRE |
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