Papers
2
Total Citations
46
H-Index
2
About
A. Khastan is a mathematician whose research bridges the frontiers of fractional calculus, neutrosophic logic, and control theory. Their most impactful contribution lies in the development of granular neutrosophic fractional differential equations, a novel framework that extends classical control problems—such as the linear quadratic regulator—into environments characterized by indeterminacy and uncertainty. This work, published in 2019 and garnering 44 citations, has opened new pathways for modeling complex systems where traditional crisp or fuzzy approaches fall short. Khastan’s research is particularly significant for its potential applications in robust control, robotics, and decision-making under ambiguity. In a related vein, they have also explored robot localization in orthogonal environments, contributing to the field of autonomous navigation. While their citation record reflects a focused, high-impact trajectory, the foundational nature of their work on neutrosophic fractional systems positions them as a key figure in the ongoing synthesis of non-classical mathematics and engineering. Khastan’s scholarship exemplifies how abstract mathematical structures can be harnessed to solve real-world problems in control and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Minimum landmarks for robot localization in orthogonal environments2 citations · 2021