2 papers
eess.SY2025
Adaptive Neural Control with Desired Approximation: An Integral Lyapunov Function Approach
Mingxuan Sun, Shengxiang Zou
The inherent approximation ability of neural networks plays an essential role in adaptive neural control, where the prerequisite for existence of the compact set is crucial in the…
eess.SY2024
Constructive RNNs: An Error-Recurrence Perspective on Time-Variant Zero Finding Problem Solving Under Uncertainty
Mingxuan Sun, Xing Li, Han Wang
When facing time-variant problems in analog computing, the desirable RNN design requires finite-time convergence and robustness with respect to various types of uncertainties, due…