Zhengqiang Zhang

Papers

Total Citations

311

H-Index

About

Zhengqiang Zhang is a leading figure in the field of nonlinear control systems, with a primary focus on adaptive and finite-time stabilization techniques for complex, real-world systems. His most impactful work, an article on "Adaptive Finite-Time Stabilization of Stochastic Nonlinear Systems Subject to Full-State Constraints and Input Saturation," has garnered 298 citations, underscoring its significance in advancing control theory for systems plagued by uncertainty and physical limitations. In this seminal paper, Zhang introduced a novel definition of semiglobally finite-time stability in probability (SGFSP) and developed a corresponding stochastic Lyapunov framework, providing a rigorous foundation for ensuring rapid, reliable convergence in stochastic environments. His contributions extend to addressing asymmetric full-state constraints through innovative barrier Lyapunov functions, as seen in his 2023 work, and to practical applications in robotics, where his 2024 paper on adaptive tracking control of uncertain robotic manipulators tackles real-time kinematic and dynamic uncertainties using zeroing-dynamics methods. Zhang’s research bridges theoretical rigor with practical implementation, making him a key contributor to modern adaptive control and a valuable resource for students and researchers tackling nonlinear, constrained, or stochastic systems.