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- Geir E. Dullerud

Discipline name
H-index
Citations
Publications
World Ranking
National Ranking

Engineering and Technology
D-index
33
Citations
7,242
152
World Ranking
4384
National Ranking
1639

2011 - Fellow of the American Society of Mechanical Engineers

2008 - IEEE Fellow For contributions to sampled-data systems and robust control

- Statistics
- Control theory
- Computer network

His primary scientific interests are in Control theory, Robust control, Mathematical optimization, Linear system and Linear matrix inequality. His study on Control theory is mostly dedicated to connecting different topics, such as Verification and validation. Geir E. Dullerud is researching Robust control as part of the investigation of Control engineering and Control system.

His research in Mathematical optimization intersects with topics in Stability, Network topology and Norm. His research in Norm focuses on subjects like Computation, which are connected to Theoretical computer science. The various areas that he examines in his Linear system study include Simple, Sampled data systems and Hybrid system.

- Distributed control design for spatially interconnected systems (701 citations)
- A Course in Robust Control Theory: A Convex Approach (640 citations)
- A Course in Robust Control Theory (560 citations)

Geir E. Dullerud mainly investigates Control theory, Mathematical optimization, Linear system, Control theory and Robust control. The study incorporates disciplines such as Semidefinite programming and Stability in addition to Control theory. His Mathematical optimization study combines topics from a wide range of disciplines, such as Quadratic equation, Markov chain and Applied mathematics.

His Linear system research includes elements of Exponential stability, Norm, Topology, Linear-quadratic-Gaussian control and Hybrid system. His Control theory course of study focuses on Control system and Control engineering. Robust control is frequently linked to Bounded function in his study.

- Control theory (45.00%)
- Mathematical optimization (20.91%)
- Linear system (19.55%)

- Mathematical optimization (20.91%)
- Markov chain (7.73%)
- Reinforcement learning (3.64%)

Geir E. Dullerud spends much of his time researching Mathematical optimization, Markov chain, Reinforcement learning, Control theory and Algorithm. His work deals with themes such as Dimension, Smoothness and Regret, which intersect with Mathematical optimization. His study looks at the relationship between Reinforcement learning and fields such as Markov decision process, as well as how they intersect with chemical problems.

The Control theory study combines topics in areas such as Control, Event triggered and Decentralised system. The study incorporates disciplines such as Linear programming and Topology in addition to Control theory. His Linear system study combines topics in areas such as Time complexity, Norm, Computation and Message passing.

- Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems (8 citations)
- Statistical Verification of PCTL Using Stratified Samples (6 citations)
- Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems (5 citations)

- Statistics
- Computer network
- Mathematical analysis

His primary areas of study are Mathematical optimization, Reinforcement learning, Gradient method, Markov chain and Stability. His Mathematical optimization research includes themes of Max-min fairness, Load balancing and Differential privacy. Geir E. Dullerud combines subjects such as Dynamical systems theory, State space, State variable, Markov decision process and Linear-quadratic regulator with his study of Reinforcement learning.

His Markov chain research incorporates elements of Sequential probability ratio test, Stratified sampling, Temporal logic and Monte Carlo method, Variance reduction. His work carried out in the field of Sequential probability ratio test brings together such families of science as Sampling, Fraction, Correctness and Confidence interval. His study in Stability is interdisciplinary in nature, drawing from both Convergence, Quadratic equation, Lyapunov function and Full state feedback, Control theory.

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.

A Course in Robust Control Theory: A Convex Approach

Geir E. Dullerud;Fernando G. Paganini.

**(2000)**

1593 Citations

Distributed control design for spatially interconnected systems

R. D'Andrea;G.E. Dullerud.

IEEE Transactions on Automatic Control **(2003)**

923 Citations

A Course in Robust Control Theory

Geir E. Dullerud;Fernando Paganini.

**(2000)**

865 Citations

Uniform stabilization of discrete-time switched and Markovian jump linear systems

Ji-Woong Lee;Geir E. Dullerud.

Automatica **(2006)**

232 Citations

Distributed control of heterogeneous systems

G.E. Dullerud;R. D'Andrea.

IEEE Transactions on Automatic Control **(2004)**

211 Citations

A new approach for analysis and synthesis of time-varying systems

G.E. Dullerud;S. Lall.

IEEE Transactions on Automatic Control **(1999)**

199 Citations

Global stability of internet congestion controllers with heterogeneous delays

Lei Ying;Geir E. Dullerud;R. Srikant.

IEEE ACM Transactions on Networking **(2006)**

168 Citations

An LMI solution to the robust synthesis problem for multi-rate sampled-data systems

Sanjay Lall;Geir Dullerud.

Automatica **(2001)**

145 Citations

Differentially private iterative synchronous consensus

Zhenqi Huang;Sayan Mitra;Geir Dullerud.

workshop on privacy in the electronic society **(2012)**

141 Citations

Differential privacy in control and network systems

Jorge Cortes;Geir E. Dullerud;Shuo Han;Jerome Le Ny.

conference on decision and control **(2016)**

117 Citations

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