Papers
4
Total Citations
116
H-Index
4
About
Shang Shi is a leading researcher in nonlinear control theory, with a primary focus on the robust and finite-time control of nonholonomic systems—a class of mechanical systems with non-integrable velocity constraints, such as mobile robots. His major contributions lie in developing advanced consensus and tracking control algorithms that overcome the limitations of traditional asymptotic methods. Notably, his work on "Robust Fixed-Time Consensus Tracking Control of High-Order Multiple Nonholonomic Systems" (2020, 55 citations) introduced a fixed-time approach, ensuring convergence within a bounded time independent of initial conditions—a significant improvement over finite-time methods. Earlier, his paper on "Robust finite-time tracking control of nonholonomic mobile robots without velocity measurements" (2015, 51 citations) pioneered a composite controller that achieves robust trajectory tracking even when angular velocity is unmeasurable, a practical challenge in robotics. Shi’s research also extends to stochastic nonlinear systems, as seen in his 2023 work on adaptive stabilization using neural networks. With over 100 citations across his most cited works, his contributions have advanced the theoretical foundations and practical applicability of control systems for autonomous vehicles and multi-agent systems.
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