Synthesis of adaptive neuro-fuzzy control system of nonlinear dynamic objects

Сиддиков, Исомиддин, Умурзакова, Дилноза

Темир йўл транспорти: долзарб масалалар ва инновациялар · 2022-yil

Annotatsiya

Development of an adaptive neuro-fuzzy control system for nonlinear dynamic objects. Based on the hybrid use of neural networks and fuzzy logic. An application of an adaptive identifier for a neuro-fuzzy control system for a nonlinear dynamic object, functioning in conditions of uncertainty of changes in internal properties and the external environment, is proposed. Algorithms for structural and parametric identification in real time, which is a combination of the algorithm for identifying coefficients of linear equations and the method of the theory of interactive adaptation, have been developed. The structure of the proposed system consists of three parts: the object itself, the controller emulator and the compensator. The developed hybrid model, built on the basis of neural networks and fuzzy models, improves the efficiency of solving the problem of managing complex dynamic objects in conditions of uncertainty. For the formalization of the compensator, the emulator and the regulator, a fuzzy model of Sugeno, the architecture of which consists of five layers, is proposed to be used.

Maqola ma’lumotlari
MualliflarСиддиков, Исомиддин, Умурзакова, Дилноза
JurnalТемир йўл транспорти: долзарб масалалар ва инновациялар
NashriyotТошкент давлат транспорт университети
ISSN2181-953X
Nashr sanasi2022-05-12
Jild1
Son1-2
Betlar54-73
TilIngliz
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

Гибридная модель, модель Сугено, эмулятор, компенсатор, нейро- нечеткая система управления, динамическая объект., Hybrid model, Sugeno model, emulator, compensator, neuro-fuzzy control system, dynamic object

Iqtibos keltirish

APAСиддиков, Исомиддин, & Умурзакова, Дилноза (2022). SYNTHESIS OF ADAPTIVE NEURO-FUZZY CONTROL SYSTEM OF NONLINEAR DYNAMIC OBJECTS. Темир йўл транспорти: долзарб масалалар ва инновациялар, 1(1-2), 54-73. https://transportjournals.com/index.php/InnoTrans/article/view/6
GOST (OAK)Сиддиков, Исомиддин, Умурзакова, Дилноза SYNTHESIS OF ADAPTIVE NEURO-FUZZY CONTROL SYSTEM OF NONLINEAR DYNAMIC OBJECTS // Темир йўл транспорти: долзарб масалалар ва инновациялар. – 2022. – T. 1, № 1-2. – P. 54-73.
MLAСиддиков, Исомиддин, and Умурзакова, Дилноза. “SYNTHESIS OF ADAPTIVE NEURO-FUZZY CONTROL SYSTEM OF NONLINEAR DYNAMIC OBJECTS.” Темир йўл транспорти: долзарб масалалар ва инновациялар, 1(1-2), 54-73, 2022. https://transportjournals.com/index.php/InnoTrans/article/view/6
ChicagoСиддиков, Исомиддин, and Умурзакова, Дилноза. “SYNTHESIS OF ADAPTIVE NEURO-FUZZY CONTROL SYSTEM OF NONLINEAR DYNAMIC OBJECTS.” Темир йўл транспорти: долзарб масалалар ва инновациялар, 1(1-2), 54-73 (2022). https://transportjournals.com/index.php/InnoTrans/article/view/6
HarvardСиддиков, Исомиддин, and Умурзакова, Дилноза (2022) ‘SYNTHESIS OF ADAPTIVE NEURO-FUZZY CONTROL SYSTEM OF NONLINEAR DYNAMIC OBJECTS’, Темир йўл транспорти: долзарб масалалар ва инновациялар, 1(1-2), 54-73. https://transportjournals.com/index.php/InnoTrans/article/view/6
BibTeX
@article{article2022,
  title = {SYNTHESIS OF ADAPTIVE NEURO-FUZZY CONTROL SYSTEM OF NONLINEAR DYNAMIC OBJECTS},
  author = {Сиддиков, Исомиддин and Умурзакова, Дилноза},
  journal = {Темир йўл транспорти: долзарб масалалар ва инновациялар},
  year = {2022},
  volume = {1},
  number = {1-2},
  pages = {54-73},
  url = {https://transportjournals.com/index.php/InnoTrans/article/view/6}
}

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