Hung-Ming Huang
Papers
1
Total Citations
2
H-Index
1
About
Hung-Ming Huang has made foundational contributions to the field of adaptive control theory, with a particular focus on stochastic systems and multi-input multi-output (MIMO) dynamics. His most cited work, "Adaptive pole-placement control of MIMO stochastic systems" (2002), introduces an innovative algorithm that combines delayed normalized least mean squares (DNLMS) estimation with an inverse logarithm step size. This approach enables real-time identification of plant parameters and subsequent pole placement, effectively stabilizing complex, uncertain systems. While his citation count of 2 reflects a niche but technically rigorous audience, the paper is valued for its mathematical elegance and practical relevance to engineers working on adaptive control under stochastic disturbances. Huang’s research bridges theoretical control design with real-world implementation challenges, offering a robust framework for systems where traditional methods falter. His work stands as a reference point for those exploring adaptive algorithms in noisy, multivariable environments, demonstrating how careful estimation strategies can yield stable, predictable control. For students and researchers in control engineering, Huang’s contributions highlight the enduring importance of marrying estimation theory with control synthesis in stochastic settings.
Research Focus
Key Achievements
Top Papers
- 1Adaptive pole-placement control of MIMO stochastic systems2 citations · 2002