Caihong Zhang

Qingdao University of Science and Technology, Guangdong University Of Finances and Economics, Guangdong Polytechnic Normal University

Papers

Total Citations

343

H-Index

About

Caihong Zhang is a leading researcher in intelligent robotic control, with a primary focus on adaptive neural network systems and autonomous mobile robot navigation. Her work has fundamentally advanced the field of nonlinear control for robotic manipulators and nonholonomic mobile robots operating under uncertain dynamics and external disturbances. Zhang’s most impactful contribution is her seminal 2011 paper on neural network-based sliding mode adaptive control for robot manipulators, which has garnered 249 citations and established a foundational framework for robust, model-free control in complex robotic systems. She has also made significant strides in environmental boundary tracking, developing both neural network-based and Lyapunov-based kinematic control laws that enable mobile robots to autonomously follow dynamic contours. Her research on finite-time formation control, published in 2014, addresses the critical challenge of leader-following coordination among multiple robots using only pose information. Through her innovative integration of radial basis function neural networks with sliding mode and adaptive control techniques, Zhang has created practical solutions for real-world robotic applications, from industrial manipulators to multi-robot formations, cementing her reputation as a key contributor to modern intelligent control theory.