Abstract
Technological advances in ad hoc networking and the availability of low-cost reliable computing, data storage, and sensing devices have made scenarios possible where the coordination of many subsystems extends the range of human capabilities. Smart grid operations, smart transportation, smart health care, and sensing networks for environmental monitoring and exploration in hazardous situations are just a few examples of such network operations. In these applications, the ability of a network system to (in a decentralized fashion) fuse information, compute common estimates of unknown quantities, and agree on a common view of the world is critical. These problems can be formulated as agreement problems on linear combinations of dynamically changing reference signals or local parameters. This dynamic agreement problem corresponds to dynamic average consensus, which, as discussed in "Summary," is the problem of interest of this article. The dynamic average consensus problem is for a group of agents to cooperate to track the average of locally available time-varying reference signals, where each agent is capable only of local computations and communicating with local neighbors.
Original language | English (US) |
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Article number | 8716798 |
Pages (from-to) | 40-72 |
Number of pages | 33 |
Journal | IEEE Control Systems |
Volume | 39 |
Issue number | 3 |
DOIs | |
State | Published - Jun 2019 |
Funding
The work of S.S. Kia was supported by National Science Foundation awards ECCS-1653838 and IIS-SAS-1724331. The work of J. Cortés was supported by NSF award CNS-1446891 and Air Force Office of Scientific Research award FA9550-15-1-0108. The work of S. Martinez was supported by the Air Force Office of Scientific Research award FA9550-18-1-0158 and Defense Advanced Research Projects Agency (Lagrange) award N66001-18-2-4027.
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Electrical and Electronic Engineering