Search Results for author: Ashish R. Hota

Found 11 papers, 0 papers with code

Bayesian Persuasion for Containing SIS Epidemic with Asymptomatic Infection

no code implementations7 Dec 2023 Ashish R. Hota, Abhisek Satapathi, Urmee Maitra

We investigate the strategic behavior of a large population of agents who decide whether to adopt a costly partially effective protection or remain unprotected against the susceptible-infected-susceptible epidemic.

Adaptive Identification of SIS Models

no code implementations2 Nov 2023 Chi Ho Leung, William E. Retnaraj, Ashish R. Hota, Philip E. Paré

Effective containment of spreading processes such as epidemics requires accurate knowledge of several key parameters that govern their dynamics.

Energy Consumption of Electric Vehicles: Effect of Lateral Dynamics

no code implementations5 Jul 2023 Simran Kumari, Susenjit Ghosh, Ashish R. Hota, Siddhartha Mukhopadhyay

Current research on energy related problems such as eco-routing, eco-driving and range prediction for electric vehicles (EVs) primarily considers the effect of longitudinal dynamics on EV energy consumption.

Distributed Coordination of Multi-Microgrids in Active Distribution Networks for Provisioning Ancillary Services

no code implementations8 May 2023 Arghya Mallick, Abhishek Mishra, Ashish R. Hota, Prabodh Bajpai

We propose a distributed optimization framework that coordinates multiple microgrids in an Active Distribution Network (ADN) for provisioning passive voltage support based ancillary services while satisfying operational constraints.

Distributed Optimization

Data-Driven Robust Optimization for Energy-Aware and Safe Navigation of Electric Vehicles

no code implementations25 Apr 2023 Simran Kumari, Ashish R. Hota, Siddhartha Mukhopadhyay

In this paper, we simultaneously tackle the problem of energy optimal and safe navigation of electric vehicles in a data-driven robust optimization framework.

Collision Avoidance

Distributionally Robust Optimal and Safe Control of Stochastic Systems via Kernel Conditional Mean Embedding

no code implementations2 Apr 2023 Licio Romao, Ashish R. Hota, Alessandro Abate

We present a novel distributionally robust framework for dynamic programming that uses kernel methods to design feedback control policies.

Generalized Gradient Flows with Provable Fixed-Time Convergence and Fast Evasion of Non-Degenerate Saddle Points

no code implementations7 Dec 2022 Mayank Baranwal, Param Budhraja, Vishal Raj, Ashish R. Hota

Gradient-based first-order convex optimization algorithms find widespread applicability in a variety of domains, including machine learning tasks.

Coupled Evolutionary Behavioral and Disease Dynamics under Reinfection Risk

no code implementations15 Sep 2022 Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota, Vaibhav Srivastava

We study the interplay between epidemic dynamics and human decision making for epidemics that involve reinfection risk; in particular, the susceptible-infected-susceptible (SIS) and the susceptible-infected-recovered-infected (SIRI) epidemic models.

Decision Making

Epidemic Propagation under Evolutionary Behavioral Dynamics: Stability and Bifurcation Analysis

no code implementations19 Mar 2022 Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota, Vaibhav Srivastava

We consider the class of SIS epidemic models in which a large population of individuals chooses whether to adopt protection or to remain unprotected as the epidemic evolves.

A Dynamic Population Model of Strategic Interaction and Migration under Epidemic Risk

no code implementations7 Sep 2021 Ezzat Elokda, Saverio Bolognani, Ashish R. Hota

In this paper, we show how a dynamic population game can model the strategic interaction and migration decisions made by a large population of agents in response to epidemic prevalence.

A Generalized SIS Epidemic Model on Temporal Networks with Asymptomatic Carriers and Comments on Decay Ratio

no code implementations26 Jul 2020 Ashish R. Hota, Kavish Gupta

We study the class of SIS epidemics on temporal networks and propose a new activity-driven and adaptive epidemic model that captures the impact of asymptomatic and infectious individuals in the network.

Physics and Society Social and Information Networks Systems and Control Systems and Control

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