Anuradha M. Annaswamy | DeepAI

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Featured Co-authors

Yue Guan
18 publications
H. Eric Tseng
12 publications
Joseph E. Gaudio
8 publications
Arnab Sarker
6 publications
Travis E. Gibson
4 publications
Michael A. Bolender
4 publications
Priyank Srivastava
3 publications
Yingnan Cui
3 publications
José M. Moreu
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Anubhav Guha
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Eugene Lavretsky
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∙ 05/08/2023

Accelerated Algorithms for a Class of Optimization Problems with Equality and Box Constraints

Convex optimization with equality and inequality constraints is a ubiqui...

0 Anjali Parashar, et al. ∙

∙ 06/11/2022

PhML-DyR: A Physics-Informed ML framework for Dynamic Reconfiguration in Power Systems

A transformation of the US electricity sector is underway with aggressiv...

0 Rabab Haider, et al. ∙

∙ 07/07/2021

DER Forecast using Privacy Preserving Federated Learning

With increasing penetration of Distributed Energy Resources (DERs) in gr...

0 Venkatesh Venkataramanan, et al. ∙

∙ 05/13/2021

Online Algorithms and Policies Using Adaptive and Machine Learning Approaches

This paper considers the problem of real-time control and learning in dy...

0 Anuradha M. Annaswamy, et al. ∙

∙ 03/30/2021

A New Algorithm for Discrete-Time Parameter Estimation

We propose a new discrete-time adaptive algorithm for parameter estimati...

0 Yingnan Cui, et al. ∙

∙ 03/23/2021

A High-order Tuner for Accelerated Learning and Control

Gradient-descent based iterative algorithms pervade a variety of problem...

0 Spencer McDonald, et al. ∙

∙ 11/19/2020

A Stable High-order Tuner for General Convex Functions

Iterative gradient-based algorithms have been increasingly applied for t...

0 José M. Moreu, et al. ∙

∙ 06/23/2020

Parameter Estimation Bounds Based on the Theory of Spectral Lines

Recent methods in the machine learning literature have proposed a Gaussi...

9 Arnab Sarker, et al. ∙

∙ 05/04/2020

Accelerated Learning with Robustness to Adversarial Regressors

High order iterative momentum-based parameter update algorithms have see...

0 Joseph E. Gaudio, et al. ∙

∙ 11/10/2019

Parameter Estimation in Adaptive Control of Time-Varying Systems Under a Range of Excitation Conditions

This paper presents a new parameter estimation algorithm for the adaptiv...

0 Joseph E. Gaudio, et al. ∙

∙ 04/11/2019

Connections Between Adaptive Control and Optimization in Machine Learning

This paper demonstrates many immediate connections between adaptive cont...

0 Joseph E. Gaudio, et al. ∙

∙ 04/03/2019

Cumulative Prospect Theory Based Dynamic Pricing for Shared Mobility on Demand Services

Cumulative Prospect Theory (CPT) is a modeling tool widely used in behav...

0 Yue Guan, et al. ∙

∙ 03/12/2019

Accelerated Learning in the Presence of Time Varying Features with Applications to Machine Learning and Adaptive Control

Features in machine learning problems are often time varying and may be ...

0 Joseph E. Gaudio, et al. ∙

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