145 citations · 441 across the 37 of their papers we have counts for
4 papers · 1 filter
Online Algorithms and Policies Using Adaptive and Machine Learning Approaches
Anuradha M. Annaswamy, Anubhav Guha, Yingnan Cui +3
This paper considers the problem of real-time control and learning in dynamic systems subjected to parametric uncertainties. We propose a combination of a Reinforcement Learning (R…
A High-order Tuner for Accelerated Learning and Control
Spencer McDonald, Yingnan Cui, Joseph E. Gaudio +1
Gradient-descent based iterative algorithms pervade a variety of problems in estimation, prediction, learning, control, and optimization. Recently iterative algorithms based on hig…
New Algorithms for Discrete-Time Parameter Estimation
Yingnan Cui, Joseph E. Gaudio, Anuradha M. Annaswamy
We propose two algorithms for discrete-time parameter estimation, one for time-varying parameters under persistent excitation (PE) condition, another for constant parameters under…
A Stable High-order Tuner for General Convex Functions
José M. Moreu, Anuradha M. Annaswamy
Iterative gradient-based algorithms have been increasingly applied for the training of a broad variety of machine learning models including large neural-nets. In particular, moment…