Donald K. Wedding
Papers
1
Total Citations
14
H-Index
1
About
Donald K. Wedding has made significant contributions to the field of intelligent control systems, with a particular focus on neural network-based approaches for robotic manipulation. His most cited work, "Flexible link control using multiple forward paths, multiple RBF neural networks in a direct control application" (2002), introduces an innovative control scheme that employs multiple radial basis function neural networks (RBFNNs) as a direct controller for flexible link robots. In this framework, each RBFNN is trained to specialize in a distinct type of movement, while a logical switch dynamically selects the appropriate network for each control update. This approach addresses the inherent challenges of controlling flexible structures, which are prone to vibration and nonlinear dynamics. Although his citation count of 14 reflects a focused impact, Wedding's work is notable for its practical, modular design that enhances adaptability and precision in robotic systems. His research bridges the gap between theoretical neural network architectures and real-world control applications, offering a scalable solution for complex, flexible-link manipulators.
Research Focus
Key Achievements
Top Papers
- 1