The International Journal of Engineering Sciences

Abstract

ABSTRACT
Modern autonomous robots are becoming more and more common in a variety of applications, particularly in uncharted and uncertain situations where reliable control schemes are necessary to guarantee their stability and effective operation. With an emphasis on the core ideas that support the design of systems with resilience and adaptive capabilities under uncertain circumstances, this study attempts to offer a thorough theoretical examination of robust control mechanisms. By evaluating the literature on both conventional and contemporary control systems and concentrating on mathematical models and notions of stability and adaptation, the study took a theoretical analytical approach. Using model criteria, a theoretical framework was developed to assess the efficacy of control techniques while examining the theoretical risks and difficulties involved. The findings showed that developing reliable and efficient control systems for robots in unfamiliar situations is based on the fundamental ideas of stability and adaptive efficiency. Along with suggesting future research priorities that center on overcoming theoretical issues and creating more adaptable and accessible theories, the analysis also showed that the suggested mathematical models aid in assessing and enhancing control measures. In addition to highlighting the significance of creating future theories based on strong scientific foundations to guarantee the stability and performance of autonomous robots in dynamic and complex situations, the analysis advanced our grasp of robust control principles and tactics.

References

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Article history_en

Received : Apr 20, 2025

Revised : Apr 24, 2025

Accepted : Jun 26, 2025

Authors Affiliations_en

BASMA KHALID ALSABAH a *, KATHIM ALI ALKHATIB b, ALI ALHUSSIENY c

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