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- Pramod P. Khargonekar

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Electronics and Electrical Engineering
D-index
63
Citations
29,313
237
World Ranking
454
National Ranking
236

2019 - IEEE Control Systems Award “For contributions to robust and optimal control theory.”

2018 - Fellow of the American Association for the Advancement of Science (AAAS)

2011 - Fellow of the International Federation of Automatic Control (IFAC)

1993 - IEEE Fellow For contributions to robust control theory, algebraic system theory, and linear multivariable systems.

- 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.

- 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)

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.

- Control theory (44.34%)
- Mathematical optimization (18.63%)
- Linear system (16.75%)

- Mathematical optimization (18.63%)
- Control (5.66%)
- Control theory (16.75%)

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.

- 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)

- 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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

State-space solutions to standard H/sub 2/ and H/sub infinity / control problems

J.C. Doyle;K. Glover;P.P. Khargonekar;B.A. Francis.

IEEE Transactions on Automatic Control **(1989)**

7727 Citations

State-space solutions to standard H 2 and H ∞ control problems

John Doyle;Keith Glover;Pramod Khargonekar;Bruce Francis.

american control conference **(1988)**

2772 Citations

Robust stabilization of uncertain linear systems: quadratic stabilizability and H/sup infinity / control theory

P.P. Khargonekar;I.R. Petersen;K. Zhou.

IEEE Transactions on Automatic Control **(1990)**

1967 Citations

Filtering and smoothing in an H/sup infinity / setting

K.M. Nagpal;P.P. Khargonekar.

IEEE Transactions on Automatic Control **(1991)**

1062 Citations

Mixed H/sub 2//H/sub infinity / control: a convex optimization approach

P.P. Khargonekar;M.A. Rotea.

IEEE Transactions on Automatic Control **(1991)**

1046 Citations

Robust control of linear time-invariant plants using periodic compensation

P. Khargonekar;K. Poolla;A. Tannenbaum.

IEEE Transactions on Automatic Control **(1985)**

780 Citations

An algebraic Riccati equation approach to H ∞ optimization

Kemin Zhou;P. Khargonekar.

Systems & Control Letters **(1988)**

656 Citations

Robust stabilization of linear systems with norm-bounded time-varying uncertainty

Kemin Zhou;Pramod P. Khargonekar.

Systems & Control Letters **(1988)**

601 Citations

A time-domain approach to model validation

K. Poolla;P. Khargonekar;A. Tikku;J. Krause.

IEEE Transactions on Automatic Control **(1994)**

488 Citations

Stability robustness bounds for linear state-space models with structured uncertainty

Kemin Zhou;P. Khargonekar.

IEEE Transactions on Automatic Control **(1987)**

472 Citations

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