Synopsis of recent research by authors named "Ronghu Chi"
- Ronghu Chi's recent research primarily focuses on
data-driven control methodologies
aimed at enhancing the performance of nonlinear, nonaffine systems with uncertainty, utilizing techniques like iterative learning control and adaptive algorithms.
- Key findings include the development of robust and efficient control strategies such as
dynamic internal model control
and adaptive iterative learning mechanisms, which leverage input-output data to bypass traditional modeling complexities.
- His work addresses a diverse range of applications, emphasizing the importance of
sampling strategies
and iterative learning in optimizing control performance for systems characterized by strong nonlinearity and external uncertainties.
