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The aim is to analyze control strategies for time-delay systems, focusing on the integration of classical and AI-based methods.

June 12, 2026MathematicsOpen Access

Artificial Intelligence-Driven Control of Time Delay Systems: A Comprehensive Review, Bibliometric Analysis, and Future Research Framework

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Comprehensive review of AI-driven control methods for time-delay systems, highlighting future research opportunities.

The aim is to analyze control strategies for time-delay systems, focusing on the integration of classical and AI-based methods.
Conducted bibliometric analysis on publications from 2010 to 2025 indexed in the Web of Science database.
Utilized bibliometrix and VOSviewer to identify trends, contributors, collaboration, and citation structures.
Proposed a framework categorizing control strategies into classical, AI-based, and hybrid methods.
Classical stability and robustness analyses remain foundational in time-delay systems control.
AI-based methods increasingly tackle nonlinearities and uncertainties in real-time applications.
Identified key research gaps including learning-based delay compensation and practical deployment challenges.

Yareshe et al. (2026) studied this question.

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