Cheng‐Chew Lim
Papers
17
Total Citations
527
H-Index
13
About
Cheng-Chew Lim is a prominent researcher whose work sits at the intersection of control systems, robotics, and multi-agent systems. His research spans autonomous mobile robot navigation, cooperative formation control, robust control theory, and nonlinear systems, with particular emphasis on developing practical, uncertainty-resilient algorithms for real-world deployment. Among his most influential contributions is a novel finite distribution estimation-based dynamic window approach for obstacle avoidance in mobile robots, which has garnered 112 citations since its 2020 publication, reflecting its significant uptake in the robotics community. Lim has made sustained advances in multi-agent formation control, addressing critical challenges such as unknown system dynamics, actuator hysteresis, limited sensing range, and collision avoidance under switching network topologies. His observer-based sliding mode and adaptive dynamic sliding mode frameworks have attracted considerable scholarly attention, with multiple formation control papers exceeding 30–66 citations. Beyond robotics, Lim has contributed to fuzzy control for nonlinear systems with missing data, stochastic switched time-delay systems, and event-triggered consensus control, demonstrating a broad and mathematically rigorous research portfolio. His cumulative citation record underscores the practical relevance and theoretical depth of his work, making him a valuable reference for researchers tackling autonomous systems, distributed control, and robust controller design.
Research Focus
Key Achievements
Top Papers
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- 7Formation control for multi-robot systems with collision avoidance29 citations · 2018
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- 10Scalable formation control in stealth with limited sensing range21 citations · 2016