A5057990528- COVID-19 epidemiological studies
- SARS-CoV-2 and COVID-19 Research
- Vaccine Coverage and Hesitancy
- Advanced Control Systems Optimization
- Vehicle Dynamics and Control Systems
- Traffic control and management
- Mathematical and Theoretical Epidemiology and Ecology Models
- Control Systems and Identification
- Computational Fluid Dynamics and Aerodynamics
- Photovoltaic System Optimization Techniques
- Aerospace and Aviation Technology
- Autonomous Vehicle Technology and Safety
- Guidance and Control Systems
- Microgrid Control and Optimization
- Simulation Techniques and Applications
- Evolution and Genetic Dynamics
- Bacteriophages and microbial interactions
- COVID-19 Pandemic Impacts
- Extremum Seeking Control Systems
- Model Reduction and Neural Networks
- Distributed Control Multi-Agent Systems
- Iterative Learning Control Systems
- Optimal Power Flow Distribution
- Power Systems and Renewable Energy
- Advanced DC-DC Converters
Georgia Institute of Technology
2018-2023
All India Institute of Medical Sciences
2022
Clinton Foundation
2021
Indian Institute of Technology Delhi
2016
The COVID-19 pandemic has precipitated a global crisis, with more than 1,430,000 confirmed cases and 85,000 deaths globally as of 9 April 20201-4. Mitigation suppression new infections have emerged the two predominant public health control strategies5. Both strategies focus on reducing by limiting human-to-human interactions, which could be both socially economically unsustainable in long term. We developed analyzed an epidemiological intervention model that leverages serological tests6,7 to...
Summary This paper presents a control technique for output tracking of reference signals in continuous‐time dynamical systems. The is comprised the following three elements: (i) fluid‐flow version Newton–Raphson method solving algebraic equations, (ii) system‐output prediction which has to track future signal, and (iii) speedup action enhancing tracker's accuracy and, some cases, stabilizing closed‐loop system. can be suitable linear nonlinear systems, implementable by simple algorithms,...
Temperate phage can initiate lysis or lysogeny after infecting a bacterial host. The genetic switch between and is mediated by regulatory genes as well host environmental factors. Recently, new class of decision switches was identified in the SPbeta group, extracellular release small, phage-encoded peptides termed arbitrium. Arbitrium be taken up bacteria prior to infection, modulating event subsequent infection. Increasing concentration arbitrium increases chance that infection will lead...
The COVID-19 pandemic has precipitated a global crisis, with more than 690,000 confirmed cases and 33,000 deaths globally as of March 30, 2020 [1–4]. At present two central public health control strategies have emerged: mitigation suppression (e.g, [5]). Both focus on reducing new infections by interactions (and both raise questions sustainability long-term tactics). Complementary to those approaches, here we develop analyze an epidemiological intervention model that leverages serological...
The COVID-19 pandemic has precipitated a global crisis, with more than 690,000 confirmed cases and 33,000 deaths globally as of March 30, 2020 [1-4]. At present two central public health control strategies have emerged: mitigation suppression (e.g, [5]). Both focus on reducing new infections by interactions (and both raise questions sustainability long-term tactics). Complementary to those approaches, here we develop analyze an epidemiological intervention model that leverages serological...
This study deals with a real‐time implementation of solar photovoltaic (SPV) grid integrated system possessing distributed static compensator (DSTATCOM) capabilities three‐phase four‐wire voltage source converter (VSC) topology using least mean eighth control algorithm. The proposed has an SPV array, VSC, three single‐phase non‐linear loads connected to the and ripple filter. VSC together behave as DSTATCOM additionally supplies power grid. reduces total harmonic distortion currents,...
This paper concerns applications of a recently-developed output-tracking technique to trajectory control autonomous vehicles. The is based on three principles: Newton-Raphson flow for solving algebraic equations, output prediction, and controller speedup. Early the technique, made simple systems an academic nature, were implemented by algorithms requiring modest computational efforts. In contrast, this tests it commonly-used dynamic models see if can handle more complex scenarios. Results...
Highlights•We develop a feedback approach to mitigate COVID-19 and enable safer return-to-work•Feedback policies show greater robustness uncertainty compared optimal control•Return-to-work is accelerated by large-scale viral serological testing•Large-scale testing guides targeted changes in behavior rather than en-masse lockdownsSummaryLockdowns stay-at-home orders have partially mitigated the spread of Covid-19. However, en masse mitigation has come with substantial socioeconomic costs. In...
In this paper, we consider the problem of controlling an underactuated system in unknown, and potentially adversarial environments. The emphasis will be on autonomous aerial vehicles, modelled by Dubins dynamics. proposed control law is based a variable integrator via online prediction for target tracking. To showcase its efficacy analyze pursuit evasion game between multiple agents. obviate need perfect knowledge evader's future strategy, use deep neural network that trained to approximate...
This paper concerns an application of a recently-developed nonlinear tracking technique to trajectory control autonomous vehicles at traffic intersections. The uses flow version the Newton-Raphson method for controlling predicted system-output future reference target. Its implementations are based on numerical solutions ordinary differential equations, and it does not specify any particular computing its trajectories. Consequently can use relatively simple algorithms crude models target...
This paper presents a control technique for output tracking of reference signals in continuous-time dynamical systems. The is comprised the following three elements: (i) prediction which has to track signal, (ii) controller based on an integrator with variable gain, and (iii) speedup action enhancing tracker's accuracy and, some cases, guaranteeing stability closed-loop system. suitable linear nonlinear systems, implementable by simple algorithms, can points as well time-dependent signals,...
COVID-19 was declared a pandemic by the World Health Organization (WHO) on March 11, 2020. Since then, efforts were initiated to develop safe and effective vaccines. Till date, 11 vaccines have been included in WHO's emergency use list. The emergence spread of variant strains SARS-CoV-2 has altered disease transmission dynamics, thus creating need for continuously monitoring real-world effectiveness various assessing their overall impact control. To achieve this goal, Indian Council Medical...
This paper proposes the use of a sign-error based adaptive control for three phase single stage grid-tied SPV (Solar Photovoltaic) system. The grid tied system, consists array, voltage source converter (VSC), ripple filter and loads (balanced unbalanced) connected to 3 AC grid. array coupled with VSC does two tasks namely: 1) provides active power grid; 2) acts as distributed static compensator (DSTATCOM). DSTATCOM reduces harmonics in current within an IEEE-519 standard, improves factor...
This paper proposes the use of a dual-sign error control algorithm for single stage, three phase, grid-integrated solar energy conversion system (SECS) with DSTATCOM (Dynamic Static Compensator) capability. The consists an SPV (Solar Photovoltaic) array, voltage source converter (VSC), phase non-linear load connected to grid and ripple filter. VSC array provide active power act as DSTATCOM. reduces THD (Total Harmonic Distortion) introduced in currents due nonlinear unbalanced loads. It...
This paper concerns applications of a recently-developed output-tracking technique to trajectory control autonomous vehicles. The is based on three principles: Newton-Raphson flow for solving algebraic equations,output prediction, and controller speedup. Early the technique, made simple systems an academic nature,were implemented by algorithms requiring modest computational efforts. In contrast, this tests it commonly-used dynamic models see if can handle more complex scenarios. Results are...
In this paper, we consider the problem of controlling an underactuated system in unknown, and potentially adversarial environments. The emphasis will be on autonomous aerial vehicles, modelled by Dubins dynamics. proposed control law is based a variable integrator via online prediction for target tracking. To showcase efficacy our method, analyze pursuit evasion game between multiple agents. obviate need perfect knowledge evader's future strategy, use deep neural network that trained to...
This paper concerns an application of a recently-developed nonlinear tracking technique to trajectory control autonomous vehicles at traffic intersections. The uses flow version the Newton-Raphson method for controlling predicted system-output future reference target. Its implementations are based on numerical solutions ordinary differential equations, and it does not specify any particular computing its trajectories. Consequently can use relatively simple algorithms crude models target...
Abstract The COVAX program aims to provide global equitable access life-saving vaccines. However, vaccine protectionism by wealthy nations has limited progress towards sharing goals. For example, as of April 2022 only ∼ 20% the population in Africa received at least one COVID-19 dose. Here we use a two-nation coupled epidemic model evaluate optimal vaccine-sharing policies given selfish objective: which countries with stockpiles aim minimize fatalities their own populations. Despite...