Muhammad Asim Shoaib

Pakistan Institute of Engineering and Applied Sciences, Korea University

Papers

Total Citations

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About

Muhammad Asim Shoaib’s research lies at the intersection of cyber–physical systems, nonlinear control theory, and robotics, with a particular focus on ensuring reliability and precision in complex, networked environments. His most impactful work, “Distributed fault detection and isolation in second order networked systems in a cyber–physical environment” (2020, 34 citations), addresses a critical challenge in modern infrastructure: how to identify and isolate failures in interconnected systems without centralized oversight. This contribution is foundational for the safe operation of smart grids, autonomous vehicle platoons, and industrial automation. Shoaib also advances robust control theory, as demonstrated in his 2024 paper on “Robust model predictive control of sampled-data Lipschitz nonlinear systems,” where he develops algorithms that maintain stability and performance under real-world constraints—exemplified through application to flexible joint robots. His earlier work on “Friction Modeling of a Robot Driven by Worm Gear transmission” (2018) provides a detailed static and dynamic analysis of worm gear characteristics, notably examining the dependency between break-away joint torques and motion direction. This modeling is essential for improving the locomotion and manipulation of rescue robots operating in unpredictable terrains. Through these contributions, Shoaib bridges theoretical rigor with practical robotic applications, earning recognition for enhancing system resilience and control fidelity.