Papers
3
Total Citations
58
H-Index
3
About
Dr. G. Guo is a leading researcher in advanced control theory, with a primary focus on the coordination and control of complex networked systems and robotic manipulators. Their work masterfully addresses critical challenges in nonlinear multi-agent systems and robotic control, particularly in the presence of unknown disturbances and uncertainties. A cornerstone of their contribution is the development of the "Event-Triggered Super-Twisting Fixed-Time Consensus Control" method, a highly innovative approach that guarantees rapid, predefined convergence for networked agents while efficiently managing communication resources. This seminal work, published in 2025, has already garnered 35 citations, underscoring its immediate impact. Dr. Guo has also made significant strides in robotic control, pioneering an "Observer-based event-triggered sliding mode tracking control" for uncertain manipulators (20 citations) and an "Adaptive trajectory tracking control" scheme based on integral sliding mode. Their research is distinguished by a practical, problem-driven approach that yields robust, finite-time convergent solutions, making their work essential reading for engineers and researchers developing resilient, high-performance autonomous systems.
Research Focus
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