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- Florian Dorfler

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
45
Citations
12,151
152
World Ranking
1462
National Ranking
32

- Control theory
- Mathematical analysis
- Electrical engineering

His primary scientific interests are in Control theory, Electric power system, Mathematical optimization, Voltage droop and Topology. His study on Lyapunov function is often connected to Network topology as part of broader study in Control theory. Florian Dorfler has included themes like Distributed generation, Distributed computing, Robustness and Optimal control in his Electric power system study.

Florian Dorfler interconnects Automatic frequency control and Adaptive control in the investigation of issues within Mathematical optimization. His Voltage droop research incorporates themes from Exponential stability and Economic dispatch. The concepts of his Topology study are interwoven with issues in Algebraic graph theory, Linearization and Topology.

- Attack Detection and Identification in Cyber-Physical Systems (1037 citations)
- Synchronization in complex networks of phase oscillators: A survey (678 citations)
- Synchronization in complex oscillator networks and smart grids (624 citations)

His main research concerns Control theory, Electric power system, Mathematical optimization, Nonlinear system and Voltage droop. His study focuses on the intersection of Control theory and fields such as AC power with connections in the field of Voltage regulation. His research in Electric power system intersects with topics in Control engineering, Optimization problem, Converters and Topology.

The Topology study combines topics in areas such as Electrical network and Topology. His studies in Nonlinear system integrate themes in fields like Convergence, Voltage source and Model predictive control. His Voltage droop research includes themes of Inverter, Microgrid, Economic dispatch and Frequency regulation.

- Control theory (51.69%)
- Electric power system (42.80%)
- Mathematical optimization (16.95%)

- Control theory (51.69%)
- Electric power system (42.80%)
- Dynamical systems theory (6.36%)

His primary areas of study are Control theory, Electric power system, Dynamical systems theory, Model predictive control and Convergence. His Control theory study combines topics in areas such as Uniform convergence and Voltage droop. Florian Dorfler studied Voltage droop and Nonlinear system that intersect with Applied mathematics.

His study in Electric power system is interdisciplinary in nature, drawing from both Stability, Converters, Control engineering and Renewable energy. His studies deal with areas such as Optimization problem, Mathematical optimization, Exponential stability and Robustness as well as Dynamical systems theory. His biological study spans a wide range of topics, including Extended Kalman filter, Bounded function, Optimal control and System identification.

- On the Secondary Control Architectures of AC Microgrids: An Overview (45 citations)
- Distributionally Robust Chance Constrained Data-enabled Predictive Control (23 citations)
- Frequency Stability of Synchronous Machines and Grid-Forming Power Converters (19 citations)

- Control theory
- Mathematical analysis
- Artificial intelligence

The scientist’s investigation covers issues in Control theory, Electric power system, Converters, Model predictive control and Voltage droop. His work carried out in the field of Control theory brings together such families of science as Approximations of π and Uniform convergence. The Electric power system study combines topics in areas such as Stability, Stability criterion and Electronic engineering.

His Converters study integrates concerns from other disciplines, such as Feed forward, Small-gain theorem, Automatic frequency control, Oscillation and Dispatchable generation. His study in Model predictive control is interdisciplinary in nature, drawing from both Subspace topology, Optimal control and System identification. His biological study spans a wide range of topics, including Power control, Voltage regulation, Sensitivity, Control theory and Nonlinear system.

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.

Attack Detection and Identification in Cyber-Physical Systems

Fabio Pasqualetti;Florian Dorfler;Francesco Bullo.

IEEE Transactions on Automatic Control **(2013)**

1462 Citations

Synchronization in complex networks of phase oscillators: A survey

Florian Dörfler;Francesco Bullo.

Automatica **(2014)**

804 Citations

Synchronization in complex oscillator networks and smart grids

Florian Dörfler;Florian Dörfler;Michael Chertkov;Francesco Bullo.

Proceedings of the National Academy of Sciences of the United States of America **(2013)**

728 Citations

Synchronization and power sharing for droop-controlled inverters in islanded microgrids

John W. Simpson-Porco;Florian DöRfler;Francesco Bullo.

Automatica **(2013)**

694 Citations

Kron Reduction of Graphs With Applications to Electrical Networks

F. Dorfler;F. Bullo.

IEEE Transactions on Circuits and Systems I-regular Papers **(2013)**

582 Citations

A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems

Daniel K. Molzahn;Florian Dorfler;Henrik Sandberg;Steven H. Low.

IEEE Transactions on Smart Grid **(2017)**

520 Citations

Secondary Frequency and Voltage Control of Islanded Microgrids via Distributed Averaging

John W. Simpson-Porco;Qobad Shafiee;Florian Dorfler;Juan C. Vasquez.

IEEE Transactions on Industrial Electronics **(2015)**

489 Citations

Synchronization and Transient Stability in Power Networks and Nonuniform Kuramoto Oscillators

Florian Dörfler;Francesco Bullo.

Siam Journal on Control and Optimization **(2012)**

447 Citations

Breaking the Hierarchy: Distributed Control and Economic Optimality in Microgrids

Florian Dorfler;John W. Simpson-Porco;Francesco Bullo.

IEEE Transactions on Control of Network Systems **(2016)**

430 Citations

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

Federico Milano;Florian Dorfler;Gabriela Hug;David J. Hill.

power systems computation conference **(2018)**

305 Citations

University of California, Santa Barbara

ETH Zurich

University of California, Riverside

University of Southern California

University of Groningen

University of Arizona

The University of Texas at Austin

University of Cambridge

University of Padua

Royal Institute of Technology

Profile was last updated on December 6th, 2021.

Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).

The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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