Jui-Hong Horng
Papers
1
Total Citations
6
H-Index
1
About
Jui-Hong Horng is a researcher whose work bridges the fields of nonlinear control systems and neural network-based adaptive control. His most-cited paper, "Adaptive tracking control of a class of nonlinear systems using CMAC network" (1996), has garnered 6 citations and stands as a foundational contribution to the integration of cerebellar model articulation controller (CMAC) networks with adaptive control strategies. This work addresses the challenge of stabilizing and tracking control for complex nonlinear systems, offering a robust framework that leverages the CMAC's fast learning and generalization capabilities. Horng’s research focuses on developing intelligent control methodologies that enhance system performance in the presence of uncertainties and dynamic nonlinearities, making his contributions particularly valuable for applications in robotics, aerospace, and industrial automation. While his citation count reflects a specialized but impactful niche, his early adoption of CMAC networks for adaptive control has influenced subsequent studies in neural network-based control design. Horng’s work exemplifies the synergy between computational intelligence and classical control theory, providing a practical pathway for real-time adaptive systems.
Research Focus
Key Achievements
Top Papers
- 1