Papers
6
Total Citations
66
H-Index
5
About
Ateeq ur Rehman is a control systems researcher whose work bridges the critical gap between theoretical multi-agent coordination and practical robotic manipulation. His research centers on three interconnected domains: consensus control of nonlinear multi-agent systems, adaptive control of robotic manipulators under physical constraints, and robust control strategies for complex dynamical systems. His most impactful work, a 2020 paper on consensus tracking under input saturation using a sector-based approach (31 citations), provides a rigorous framework for ensuring stability in networked systems despite actuator limitations—a fundamental challenge in multi-robot coordination. Rehman has made significant strides in addressing the conservatism inherent in Lipschitz nonlinear systems, developing Linear Parameter Varying (LPV) schemes that enable optimal leader-following consensus without requiring global information, as demonstrated in his 2024 papers on cooperative optimal control and robust leaderless consensus under switching topologies. His practical contributions extend to adaptive control of robotic manipulators facing input deadzone and disturbances (2024, 10 citations), and backstepping control for two-wheeled self-balancing robots. With a career spanning foundational theory to applied robotics, Rehman’s work offers elegant solutions to real-world control challenges, making him a valuable reference for researchers in nonlinear systems and cooperative control.
Research Focus
Key Achievements
Top Papers
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- 5Backstepping control design for two-wheeled self balancing robot6 citations · 2018
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