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) |
|---|---|
| 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 1 2019 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Electrical and Electronic Engineering
Cite this
}
Tutorial on Dynamic Average Consensus : The Problem, Its Applications, and the Algorithms. / Kia, Solmaz S.; Van Scoy, Bryan; Cortes, Jorge; Freeman, Randy A; Lynch, Kevin M; Martinez, Sonia.
In: IEEE Control Systems, Vol. 39, No. 3, 8716798, 01.06.2019, p. 40-72.Research output: Contribution to journal › Article
TY - JOUR
T1 - Tutorial on Dynamic Average Consensus
T2 - The Problem, Its Applications, and the Algorithms
AU - Kia, Solmaz S.
AU - Van Scoy, Bryan
AU - Cortes, Jorge
AU - Freeman, Randy A
AU - Lynch, Kevin M
AU - Martinez, Sonia
PY - 2019/6/1
Y1 - 2019/6/1
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=85065960791&partnerID=8YFLogxK
U2 - 10.1109/MCS.2019.2900783
DO - 10.1109/MCS.2019.2900783
M3 - Article
AN - SCOPUS:85065960791
VL - 39
SP - 40
EP - 72
JO - IEEE Control Systems
JF - IEEE Control Systems
SN - 1066-033X
IS - 3
M1 - 8716798
ER -