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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...
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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...
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07/07/2021
DER Forecast using Privacy Preserving Federated Learning
With increasing penetration of Distributed Energy Resources (DERs) in gr...
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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...
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03/30/2021
A New Algorithm for Discrete-Time Parameter Estimation
We propose a new discrete-time adaptive algorithm for parameter estimati...
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03/23/2021
A High-order Tuner for Accelerated Learning and Control
Gradient-descent based iterative algorithms pervade a variety of problem...
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11/19/2020
A Stable High-order Tuner for General Convex Functions
Iterative gradient-based algorithms have been increasingly applied for t...
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06/23/2020
Parameter Estimation Bounds Based on the Theory of Spectral Lines
Recent methods in the machine learning literature have proposed a Gaussi...
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05/04/2020
Accelerated Learning with Robustness to Adversarial Regressors
High order iterative momentum-based parameter update algorithms have see...
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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...
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04/11/2019
Connections Between Adaptive Control and Optimization in Machine Learning
This paper demonstrates many immediate connections between adaptive cont...
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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...
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03/12/2019