Jiaxi Chen

Xidian University, Wuhan University of Science and Technology

Papers

Total Citations

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About

Jiaxi Chen is a researcher advancing the frontiers of intelligent control systems, with a primary focus on multi-agent systems, fuzzy adaptive control, and brain-computer interfaces (BCI). Their work bridges theoretical rigor and practical application, particularly in consensus problems for stochastic multi-agent systems. Chen’s most cited paper, “Application of Robust Fuzzy Cooperative Strategy in Global Consensus of Stochastic Multi-Agent Systems” (2025, 4 citations), introduces a novel robust fuzzy distributed protocol that integrates robust and fuzzy control to address global consensus in unknown systems—a key challenge in autonomous coordination. Another notable contribution, “NAO Robot Walking Control System Based on Motor Imagery” (2020, 4 citations), applies BCI technology to enable motor imagery-based control of a NAO robot, offering promising avenues for limb rehabilitation in paralyzed and stroke patients. Chen also explores distributed fuzzy adaptive optimal consensus for imprecise topologies using reinforcement learning in graph games (2025, 2 citations), demonstrating versatility in tackling complex, real-world control problems. With a growing citation impact, Chen’s work stands out for its innovative fusion of robust, fuzzy, and learning-based methods, making significant strides toward safer, more adaptive autonomous systems and assistive technologies.