55 citations · 103 across the 11 of their papers we have counts for
11 papers
On the stability of gradient descent with second order dynamics for time-varying cost functions
Travis E. Gibson, Sawal Acharya, Anjali Parashar +2
Gradient based optimization algorithms deployed in Machine Learning (ML) applications are often analyzed and compared by their convergence rates or regret bounds. While these rates…
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…
Accurate Parameter Estimation for Risk-aware Autonomous Systems
Arnab Sarker, Peter Fisher, Joseph E. Gaudio +1
Analysis and synthesis of safety-critical autonomous systems are carried out using models which are often dynamic. Two central features of these dynamic systems are parameters and…
Accelerated Learning with Robustness to Adversarial Regressors
Joseph E. Gaudio, Anuradha M. Annaswamy, José M. Moreu +2
High order momentum-based parameter update algorithms have seen widespread applications in training machine learning models. Recently, connections with variational approaches have…
Parameter Estimation in Adaptive Control of Time-Varying Systems Under a Range of Excitation Conditions
Joseph E. Gaudio, Anuradha M. Annaswamy, Eugene Lavretsky +1
This paper presents a new parameter estimation algorithm for the adaptive control of a class of time-varying plants. The main feature of this algorithm is a matrix of time-varying…
Adaptive Flight Control in the Presence of Limits on Magnitude and Rate
Joseph E. Gaudio, Anuradha M. Annaswamy, Michael A. Bolender +1
Input constraints as well as parametric uncertainties must be accounted for in the design of safe control systems. This paper presents an adaptive controller for multiple-input-mul…
Connections Between Adaptive Control and Optimization in Machine Learning
Joseph E. Gaudio, Travis E. Gibson, Anuradha M. Annaswamy +2
This paper demonstrates many immediate connections between adaptive control and optimization methods commonly employed in machine learning. Starting from common output error formul…
Provably Correct Learning Algorithms in the Presence of Time-Varying Features Using a Variational Perspective
Joseph E. Gaudio, Travis E. Gibson, Anuradha M. Annaswamy +1
Features in machine learning problems are often time-varying and may be related to outputs in an algebraic or dynamical manner. The dynamic nature of these machine learning problem…
Liquid-solid impacts of yield-stress fluids
Marc E. Deetjen, Brendan C. Blackwell, Joseph E. Gaudio +1
This is an entry to the Gallery of Fluid Motion at the 66th annual meeting of the APS-DFD, held November 2013 in Pittsburgh, PA. In this fluid dynamics video we demonstrate distinc…