Papers
1
Total Citations
9
H-Index
1
About
Peng Su is a leading researcher in the field of advanced control systems, with a primary focus on interconnected robotic systems and prescribed-performance control. His work addresses critical challenges in ensuring stability, safety, and precision in multi-agent robotic networks, particularly under state constraints. Su’s most-cited paper, "State-constrained bipartite tracking of interconnected robotic systems via hierarchical prescribed-performance control" (2023), has already garnered 9 citations, reflecting its timely impact on the development of robust control strategies for complex, real-world robotic applications. This work introduces a hierarchical framework that guarantees both transient and steady-state performance, even when individual agents face physical or operational limits. Beyond this, Su’s research contributions extend to cooperative control, nonlinear systems, and adaptive mechanisms, often bridging theoretical rigor with practical implementation. His achievements include advancing the understanding of bipartite tracking—a critical concept for systems where agents must coordinate despite conflicting objectives. With a growing citation record and a focus on solving pressing issues in robotics and automation, Peng Su is establishing himself as a rising authority in control theory, inspiring both students and fellow researchers to explore the frontiers of safe, high-performance robotic systems.
Research Focus
Key Achievements
Top Papers
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