Chao-Ming Chung
Papers
1
Total Citations
56
H-Index
1
About
Dr. Chao-Ming Chung is a leading researcher in intelligent control systems, with a primary focus on adaptive control for complex nonlinear dynamics. His most cited work, "Adaptive Control for MIMO Uncertain Nonlinear Systems Using Recurrent Wavelet Neural Network" (2012, 56 citations), introduces a groundbreaking recurrent wavelet neural network (RWNN)-based adaptive control system. This approach uniquely combines the fast learning and generalization capabilities of wavelet neural networks with the information-storing ability of recurrent structures, enabling robust control of multi-input multi-output (MIMO) systems under uncertainty. Dr. Chung's contributions have significantly advanced the field by providing a powerful framework for handling nonlinearities and uncertainties that challenge conventional controllers. His work is widely recognized for its practical applicability in robotics, aerospace, and industrial automation, where precise and adaptive control is critical. With a citation record reflecting sustained impact, Dr. Chung continues to inspire researchers developing next-generation intelligent control architectures.
Research Focus
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