2019 - SIAM Fellow For contributions to geometric control, distributed control, and network systems with application to robotic coordination, power grids, and social networks.
2014 - Fellow of the International Federation of Automatic Control (IFAC)
2010 - IEEE Fellow For contributions to geometric and cooperative control with applications to mechanical and robotic systems
Francesco Bullo mostly deals with Control theory, Mathematical optimization, Distributed computing, Control engineering and Distributed algorithm. The concepts of his Control theory study are interwoven with issues in AC power and Microgrid. His Mathematical optimization research is multidisciplinary, relying on both Graph theory, Equivalence and Frequency regulation.
His research in Distributed computing intersects with topics in Identification, Wireless sensor network, Motion control, Autonomous agent and Multi-agent system. His study connects Control system and Control engineering. His Distributed algorithm research integrates issues from Robot, Robotics, Artificial intelligence, Mobile robot and Vehicle routing problem.
Francesco Bullo focuses on Mathematical optimization, Control theory, Distributed computing, Distributed algorithm and Artificial intelligence. The Mathematical optimization study combines topics in areas such as Bounded function and Regular polygon. Francesco Bullo interconnects Control engineering and Motion planning in the investigation of issues within Control theory.
His Distributed computing research incorporates themes from Multi-agent system, Asynchronous communication and Identification. His Distributed algorithm research includes elements of Theoretical computer science and Mobile robot. His Controllability research is multidisciplinary, incorporating elements of Kinematics, Affine connection and Underactuation.
His main research concerns Applied mathematics, Topology, Mathematical economics, Markov chain and Theoretical computer science. His Topology study integrates concerns from other disciplines, such as Inverter, Partition and Synchronization. Francesco Bullo combines subjects such as Entropy, Complete graph and Mobile robot with his study of Markov chain.
Francesco Bullo works mostly in the field of Mobile robot, limiting it down to topics relating to Graph and, in certain cases, Mathematical optimization, as a part of the same area of interest. He has researched Theoretical computer science in several fields, including Kronecker product, Network formation, Optimization problem, Random walk and Focus. His studies in Network formation integrate themes in fields like Inclusion, Bridging, Sign and Distributed computing.
The scientist’s investigation covers issues in Applied mathematics, Topology, Mathematical economics, Convergence and Optimization problem. The various areas that Francesco Bullo examines in his Applied mathematics study include Matrix, Spectral abscissa, Affine transformation, Exponential stability and Almost surely. His biological study spans a wide range of topics, including Grid, Nonlinear system, Inverter and Synchronization.
His studies in Mathematical economics integrate themes in fields like Network topology, Property, Social influence and Balance theory. Francesco Bullo has included themes like Tracking error, Solver and Contraction analysis in his Convergence study. Optimization problem is a subfield of Mathematical optimization that he tackles.
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.
Coverage control for mobile sensing networks
J. Cortes;S. Martinez;T. Karatas;F. Bullo.
international conference on robotics and automation (2002)
Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms
Francesco Bullo;Jorge Cortes;Sonia Martinez.
Attack Detection and Identification in Cyber-Physical Systems
Fabio Pasqualetti;Florian Dorfler;Francesco Bullo.
IEEE Transactions on Automatic Control (2013)
Distributed Control of Robotic Networks
Geometric control of mechanical systems
Francesco Bullo;Andrew D. Lewis.
Synchronization in complex networks of phase oscillators: A survey
Florian Dörfler;Francesco Bullo.
Robust rendezvous for mobile autonomous agents via proximity graphs in arbitrary dimensions
J. Cortes;S. Martinez;F. Bullo.
IEEE Transactions on Automatic Control (2006)
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)
Synchronization and power sharing for droop-controlled inverters in islanded microgrids
John W. Simpson-Porco;Florian DöRfler;Francesco Bullo.
Optimal sensor placement and motion coordination for target tracking
Sonia MartíNez;Francesco Bullo.
Profile was last updated on December 6th, 2021.
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