Francesco Bullo
University of California, Santa Barbara
520 Papers
6K Citations
Francesco Bullo is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Computer science & Distributed algorithm. The author has an hindex of 81, co-authored 484 publications. Previous affiliations of Francesco Bullo include California Institute of Technology & University of California.
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Papers
The coverage problem for loitering Dubins vehicles
Ketan Savla,Francesco Bullo,Emilio Frazzoli +2 more
- 01 Dec 2007
TL;DR: This paper presents circular loitering patterns for a Dubins vehicle and for a group of Dubins vehicles that minimize the worst-case traveling time in sufficiently large regions by establishing an analogy to the disk covering problem.
A cooperative homicidal chauffeur game
Shaunak D. Bopardikar,Francesco Bullo,Joao P. Hespanha +2 more
- 01 Dec 2007
TL;DR: This work proposes a novel cooperative strategy in which the pursuers move in a daisy-chain formation and confine the evader to a bounded region, inspired by certain hunting and foraging behaviors of various fish species.
Opinion Dynamics and Social Power Evolution over Reducible Influence Networks
TL;DR: This paper extends the analysis of the DeGroot--Friedkin model to two general scenarios where the interpersonal influence network is not necessarily strongly connected and where the individuals form opinions with reducible relative interactions.
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Low-Order Controllability and Kinematic Reductions for Affine Connection Control Systems
Francesco Bullo,Andrew D. Lewis +1 more
TL;DR: Interestingly and surprisingly, those mechanical systems which are dynamic and those which are kinematic are characterized and linked by a certain intrinsic vector-valued quadratic form that can be associated to an affine connection control system.
Dynamic Aggregation of Grid-Tied Three-Phase Inverters
TL;DR: This work develops a distribution-network-cognizant aggregation approach that describes the collective dynamics of grid-tied three-phase inverters and demonstrates the accuracy and computational benefits of the proposed aggregation method.
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