What is he best known for?
The fields of study he is best known for:
- Control theory
- Statistics
- Artificial intelligence
The scientist’s investigation covers issues in Control theory, Linear system, Optimal control, Applied mathematics and Riccati equation.
His research on Control theory frequently connects to adjacent areas such as Norm.
The Norm study combines topics in areas such as Algebraic Riccati equation, Bounded function, Discrete system and H-infinity methods in control theory.
His Linear system research includes themes of Stability, Quadratic equation and Robustness.
The concepts of his Optimal control study are interwoven with issues in Upper and lower bounds and Algebraic number.
His Applied mathematics study combines topics from a wide range of disciplines, such as Initial value problem, Nonlinear algorithms, Nonlinear system, Infinity and System identification.
His most cited work include:
- State-space solutions to standard H/sub 2/ and H/sub infinity / control problems (4968 citations)
- State-space solutions to standard H 2 and H ∞ control problems (1709 citations)
- Robust stabilization of uncertain linear systems: quadratic stabilizability and H/sup infinity / control theory (1324 citations)
What are the main themes of his work throughout his whole career to date?
Control theory, Mathematical optimization, Linear system, Control theory and Control system are his primary areas of study.
His study explores the link between Control theory and topics such as Norm that cross with problems in Bounded function.
His Mathematical optimization study integrates concerns from other disciplines, such as Smart grid and Energy storage.
His studies in Linear system integrate themes in fields like Time complexity, Transfer function, Stability and Applied mathematics.
His research integrates issues of Stability, Control and Function in his study of Control theory.
His research is interdisciplinary, bridging the disciplines of Riccati equation and Optimal control.
He most often published in these fields:
- Control theory (44.34%)
- Mathematical optimization (18.63%)
- Linear system (16.75%)
What were the highlights of his more recent work (between 2016-2021)?
- Mathematical optimization (18.63%)
- Control (5.66%)
- Control theory (16.75%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Mathematical optimization, Control, Control theory, Artificial intelligence and Environmental economics.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Marginal cost and Electric power system.
Pramod P. Khargonekar interconnects Artificial neural network, Working memory, Regret and Discrete mathematics in the investigation of issues within Control theory.
His research on Artificial neural network frequently links to adjacent areas such as Control theory.
His work deals with themes such as Process control and Eigenvalues and eigenvectors, which intersect with Control theory.
His Environmental economics research is multidisciplinary, relying on both Electricity, Core, Sharing economy, Electric power and Renewable energy.
Between 2016 and 2021, his most popular works were:
- Systems & Control for the future of humanity, research agenda: Current and future roles, impact and grand challenges (95 citations)
- Sharing Storage in a Smart Grid: A Coalitional Game Approach (54 citations)
- Smart grids cyber-physical security as a malicious data attack: An innovation approach (33 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Control theory
Pramod P. Khargonekar spends much of his time researching Mathematical optimization, Smart grid, Environmental economics, Control and Control theory.
His Mathematical optimization study combines topics in areas such as Marginal cost and Electric power system.
His research in Smart grid intersects with topics in Distributed generation, SCADA, Unobservable, Game theory and Stochastic optimization.
The various areas that he examines in his Environmental economics study include Total cost, Pooling, Electricity, Bidding and Renewable energy.
His Control research incorporates elements of Task and Human–computer interaction.
His work in Control theory is not limited to one particular discipline; it also encompasses Process.
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