Registration Number
0225U002166,
(0120U000022)
, R & D reports
Title
Development of theoretical backgrounds for designing intelligent automatic systems for diagnostics and control of complex dynamic plants under conditions of incomplete information
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Розроблення теоретичних засад побудови інтелектуальних автоматичних систем для діагностики та керування складними динамічними об'єктами в умовах неповної інформації
Head
Zhiteckii Leonid S., Кандидат технічних наук
Registration Date
22-02-2025
Organization
Institute of Information Technologies and Systems of the National Academy of Sciences of Ukraine
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A method for learning an automat to purposeful actions via the observation of a human-operator under the control of a memoryless plant is developed. Original methods for learning inverse neural network models and models employing an associative memory are proposed. They are oriented on the use for intelligent control systems containing the certain class of nonlinear interconnected plants. Asymptotic properties of these systems are studied. A new method and information technology for the control of plants using situation recognition principles is proposed. Methods for the adaptation and learning to control of dynamical plants without external teacher under incomplete information are advanced. A new method for the processing of cyclic signals is proposed. Sufficient conditions guaranteeing the utility of diagnostic test are established.
Product Description
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Holyk Lidiia O.
Zhytetskyi Leonid S.
Makieionok Oleksandr M.
Nikolaienko Serhii V.
Solovchuk Klavdiia Yu.
Fainzilberh Leonid S.
Sheredeko Yurii L.
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2025-02-22
