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TWO-LEVEL INTELLIGENT HYBRID CONTROL SYSTEM: INTEGRATION OF CLASSICAL ALGORITHMS AND FUZZY LOGIC TO ENSURE STABILITY IN THE FACE OF UNCERTAINTY

Aksenov Sergey Gennadievich  (Doctor of Economics, Professor, Ufa University of Science and Technology, Ufa, Russian Federation )

In conditions of instability of management facilities and dynamic regulatory requirements, traditional methods are often ineffective in the absence of a complete a priori model. The paper proposes an approach to the design of a two-level intelligent hybrid system that combines classical algorithms with fuzzy logic to process uncertainty. A model is proposed that includes an analysis of the applicability of analytical approaches, the formation of an adaptive rule base, decision-making in conditions of partial incompleteness and dynamic correction of impacts. The stages of synthesis and verification are based on the principles of mutual adaptation, discrete series and transformations. The integration of continuous dynamics and discrete event logic increases the adaptability, reliability, and stability of managing complex objects in a changing environment.

Keywords:hybrid control system; intelligent system; fuzzy logic; two-level architecture; uncertainty; real-time decision-making
 

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Citation link:
Aksenov S. G. TWO-LEVEL INTELLIGENT HYBRID CONTROL SYSTEM: INTEGRATION OF CLASSICAL ALGORITHMS AND FUZZY LOGIC TO ENSURE STABILITY IN THE FACE OF UNCERTAINTY // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2026. -№01. -С. 38-41 DOI 10.37882/2223-2966.2026.01.02
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