What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Computer network
Vijay Gupta mainly investigates Control theory, Network packet, Control theory, Real-time computing and Distributed computing.
By researching both Control theory and Erasure, he produces research that crosses academic boundaries.
Network packet is closely attributed to Optimal control in his study.
His Control theory study combines topics from a wide range of disciplines, such as Stochastic process, Injection attacks, Stochastic control and Detector.
In his study, Mathematical optimization is strongly linked to Variable-order Markov model, which falls under the umbrella field of Stochastic control.
His work investigates the relationship between Real-time computing and topics such as Scheduling that intersect with problems in Intelligent sensor.
His most cited work include:
- On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage (439 citations)
- State Estimation in Electric Power Grids: Meeting New Challenges Presented by the Requirements of the Future Grid (294 citations)
- Optimal LQG Control Across Packet-Dropping Links (282 citations)
What are the main themes of his work throughout his whole career to date?
Vijay Gupta mainly investigates Control theory, Mathematical optimization, Control theory, Control and Passivity.
His work deals with themes such as Markov process and Network packet, which intersect with Control theory.
He has included themes like Linear-quadratic-Gaussian control and Optimal control in his Network packet study.
His Mathematical optimization research incorporates themes from Electric vehicle, Markov decision process, Markov chain and Dynamic pricing.
His study on Control theory also encompasses disciplines like
- Real-time computing which intersects with area such as Scheduling,
- Control system which connect with Control engineering.
His biological study spans a wide range of topics, including Discrete time and continuous time and Feedback passivation.
He most often published in these fields:
- Control theory (35.22%)
- Mathematical optimization (21.59%)
- Control theory (16.28%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (35.22%)
- Control theory (16.28%)
- Mathematical optimization (21.59%)
In recent papers he was focusing on the following fields of study:
Vijay Gupta mostly deals with Control theory, Control theory, Mathematical optimization, Passivity and Stability.
His Control theory research is multidisciplinary, incorporating perspectives in Microgrid, Voltage and Transient.
His Control theory study combines topics in areas such as Control system and Control.
His work carried out in the field of Mathematical optimization brings together such families of science as Multi-agent system, Markov decision process, Principal, Stackelberg competition and Function.
His Passivity study incorporates themes from Control engineering and Interconnection.
The concepts of his Stability study are interwoven with issues in Kalman filter, Distributed computing, Filter and State.
Between 2018 and 2021, his most popular works were:
- Tradeoffs in Stochastic Event-Triggered Control (9 citations)
- A Contract Design Approach for Phantom Demand Response (8 citations)
- Reliability Contracts Between Renewable and Natural Gas Power Producers (8 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Computer network
Vijay Gupta mainly focuses on Control theory, Control theory, Mathematical optimization, Stability and Control system.
His Control theory research is mostly focused on the topic Nonlinear system.
His research integrates issues of Linear system and Optimal control in his study of Control theory.
His research in Optimal control intersects with topics in Scheduling, Distributed model predictive control, State and Realization.
His research integrates issues of Feedback loop, Markov decision process, Incentive design and Temporal logic in his study of Mathematical optimization.
His Stability study deals with Energy management intersecting with Control, Range and Robust control.
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