Zihao Shang
Papers
2
Total Citations
59
H-Index
2
About
Zihao Shang is a rising scholar in the field of nonlinear control systems, with a primary focus on multi-agent systems (MASs) and adaptive finite-time control. His major contributions center on solving complex consensus tracking problems under output constraints, a critical challenge in autonomous systems and robotics. Shang has pioneered the use of an improved tan-type nonlinear mapping function to handle both constant and time-varying output constraints, offering a more robust and efficient solution than traditional methods. His most cited work, "Adaptive Finite-Time Consensus Tracking Control for Nonlinear Multi-Agent Systems" (2023), has garnered 36 citations for its novel approach to nonstrict-feedback systems. A second highly cited paper (23 citations) extends this framework to heterogeneous MASs with bipartite consensus, addressing real-world scenarios where agents may have conflicting objectives. Shang’s research is notable for its theoretical rigor and practical applicability, providing foundational tools for ensuring stability and safety in distributed control networks. His work is increasingly influential among researchers working on adaptive control, nonlinear dynamics, and cooperative robotics.
Research Focus
Key Achievements
Top Papers
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