Zhong Jun Yang
Papers
1
Total Citations
17
H-Index
1
About
Zhong Jun Yang is a researcher specializing in intelligent control systems and mobile robotics, with a particular focus on trajectory tracking and autonomous navigation. His most cited work, "Research on ground mobile robot trajectory tracking control based on MPC and ANFIS" (2024), integrates Model Predictive Control (MPC) with Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to enhance the precision and adaptability of ground robots in dynamic environments. This paper has garnered 17 citations, reflecting its timely relevance to the growing field of autonomous systems. Yang’s contributions lie in bridging classical control theory with machine learning, offering robust solutions for real-time path following under uncertainty. His work is notable for its practical implications in logistics, agriculture, and service robotics, where reliable trajectory tracking is critical. As a researcher, Yang demonstrates a commitment to advancing intelligent automation, making his studies a valuable resource for students and engineers exploring the intersection of control engineering and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1