5 citations · 13 across the 9 of their papers we have counts for
14 papers
Human Behavioral Models Using Utility Theory and Prospect Theory
Anuradha M. Annaswamy, Vineet Jagadeesan Nair
Several examples of Cyber-physical human systems (CPHS) include real-time decisions from humans as a necessary building block for the successful performance of the overall system.…
Accelerated Algorithms for a Class of Optimization Problems with Constraints
Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy
This paper presents a framework to solve constrained optimization problems in an accelerated manner based on High-Order Tuners (HT). Our approach is based on reformulating the orig…
DER Forecast using Privacy Preserving Federated Learning
Venkatesh Venkataramanan, Sridevi Kaza, Anuradha M. Annaswamy
With increasing penetration of Distributed Energy Resources (DERs) in grid edge including renewable generation, flexible loads, and storage, accurate prediction of distributed gene…
Sensitivity Analysis of Passenger Behavioral Model for Dynamic Pricing of Shared Mobility on Demand
Vineet Jagadeesan Nair, Yue Guan, Anuradha M. Annaswamy +2
This paper provides a framework to quantify the sensitivity associated with behavioral models based on Cumulative Prospect Theory (CPT). These are used to design dynamic pricing st…
Online Policies for Real-Time Control Using MRAC-RL
Anubhav Guha, Anuradha Annaswamy
In this paper, we propose the Model Reference Adaptive Control & Reinforcement Learning (MRAC-RL) approach to developing online policies for systems in which modeling errors occur…
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…