Yixiang Gu
Papers
2
Total Citations
6
H-Index
2
About
Yixiang Gu is a rising researcher in the field of nonlinear control systems, with a primary focus on adaptive control, multi-robot coordination, and constrained robotic systems. Their work addresses critical challenges in ensuring stability and performance under real-world limitations such as state constraints, parametric uncertainties, and communication constraints. Gu’s most notable contributions include the development of a fixed-time adaptive event-triggered guaranteed performance tracking control for nonholonomic mobile robots, which introduces a prescribed performance function to achieve superior transient and steady-state behavior under asymmetric state constraints. Additionally, they have advanced the field of multi-robotics by designing an adaptive neural network prescribed time control method that effectively handles parametric uncertainties in constrained multi-robot systems. While early in their career—with top papers from 2024 accumulating 4 and 2 citations respectively—Gu’s work is already recognized for its practical relevance to autonomous mobile robotics and cooperative multi-agent systems. Their research stands out for integrating event-triggered mechanisms and neural network approximations to reduce computational burden while maintaining rigorous performance guarantees, marking them as a promising contributor to modern adaptive control theory.
Research Focus
Key Achievements
Top Papers
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- 2