Tansel Yucelen
Papers
9
Total Citations
44
H-Index
3
About
Tansel Yucelen is a control systems researcher whose work spans multiagent systems, adaptive control, and autonomous robotics. His research tackles some of the most pressing challenges in modern control theory, including how teams of robots can coordinate effectively despite sensor inaccuracies, communication constraints, and adversarial cyber threats. Yucelen's most influential contribution — earning 18 citations — introduces a finite-time control framework for multiagent networks using time transformation and separation principles, offering a rigorous approach to guaranteeing that networked agents reach agreement within predictable timeframes. His work on approximate consensus under inaccurate sensor measurements directly addresses real-world robotics limitations, while his event-triggered neuroadaptive controller (ETNAC) demonstrates how neural network-based adaptive methods can reduce unnecessary computational overhead in uncertain nonlinear systems. A recurring theme across his portfolio is efficiency: his norm-free adaptive event-triggering architectures for nonholonomic mobile robots minimize data transmissions without sacrificing coordination performance. His more recent work extends these ideas into cybersecurity, addressing actuator attacks on cyber-physical systems — a growing concern as autonomous systems become more interconnected. Through contributions to resilient control theory and distributed formation control, Yucelen has established himself as a versatile researcher bridging theoretical rigor with practical autonomous systems applications.
Research Focus
Key Achievements
Top Papers
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- 8Special Issue: Adaptive Methods for Resilient Control Systems2 citations · 2021
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