Distributed Coverage Optimization and Control with Applications to Precision Agriculture

Jun Zhang; Hilton Tnunay; Chunyan Wang; Xinguang Lyu; Zhengtao Ding

doi:10.23919/ChiCC.2018.8483269

Distributed Coverage Optimization and Control with Applications to Precision Agriculture

Jun Zhang, Hilton Tnunay, Chunyan Wang, Xinguang Lyu, Zhengtao Ding

School of Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In this paper, distributed coverage optimization and control problem with collision avoidance and parameter estimation are studied. First, we consider the case that the density function φ(q) is known by all the robots in the network. By using the interaction term of Voronoi neighbour, coverage optimization and control protocols are designed in a distributed way such that the best position of each robot can be determined and all the robots can move to the best positions without collision. Then, we consider the case that the density function φ(q) is not known by the robots. By using the adaptive technique, the density function φ(q) can be estimated in a fast and distributed way. Finally, the proposed coverage control scheme are applied to remote sensing for precision farming and the effectiveness of the strategy is validated through some simulation results.

Original language	English
Title of host publication	Proceedings of the 37th Chinese Control Conference, CCC 2018
Editors	Xin Chen, Qianchuan Zhao
Publisher	IEEE Computer Society
Pages	6836-6841
Number of pages	6
ISBN (Electronic)	9789881563941
DOIs	https://doi.org/10.23919/ChiCC.2018.8483269
Publication status	Published - 5 Oct 2018
Event	37th Chinese Control Conference, CCC 2018 - Wuhan, China Duration: 25 Jul 2018 → 27 Jul 2018

Publication series

Name	Chinese Control Conference, CCC
Volume	2018-July
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	37th Chinese Control Conference, CCC 2018
Country/Territory	China
City	Wuhan
Period	25/07/18 → 27/07/18

Keywords

Coverage Control
Density Function Estimation
Distributed Strategy
Precision Agriculture

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10.23919/ChiCC.2018.8483269

Cite this

Zhang, J., Tnunay, H., Wang, C., Lyu, X., & Ding, Z. (2018). Distributed Coverage Optimization and Control with Applications to Precision Agriculture. In X. Chen, & Q. Zhao (Eds.), Proceedings of the 37th Chinese Control Conference, CCC 2018 (pp. 6836-6841). Article 8483269 (Chinese Control Conference, CCC; Vol. 2018-July). IEEE Computer Society. https://doi.org/10.23919/ChiCC.2018.8483269

@inproceedings{683ecd5714c14628ab76f86d023de7a0,

title = "Distributed Coverage Optimization and Control with Applications to Precision Agriculture",

abstract = "In this paper, distributed coverage optimization and control problem with collision avoidance and parameter estimation are studied. First, we consider the case that the density function φ(q) is known by all the robots in the network. By using the interaction term of Voronoi neighbour, coverage optimization and control protocols are designed in a distributed way such that the best position of each robot can be determined and all the robots can move to the best positions without collision. Then, we consider the case that the density function φ(q) is not known by the robots. By using the adaptive technique, the density function φ(q) can be estimated in a fast and distributed way. Finally, the proposed coverage control scheme are applied to remote sensing for precision farming and the effectiveness of the strategy is validated through some simulation results.",

keywords = "Coverage Control, Density Function Estimation, Distributed Strategy, Precision Agriculture",

author = "Jun Zhang and Hilton Tnunay and Chunyan Wang and Xinguang Lyu and Zhengtao Ding",

note = "Publisher Copyright: {\textcopyright} 2018 Technical Committee on Control Theory, Chinese Association of Automation.; 37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",

year = "2018",

month = oct,

day = "5",

doi = "10.23919/ChiCC.2018.8483269",

language = "English",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "6836--6841",

editor = "Xin Chen and Qianchuan Zhao",

booktitle = "Proceedings of the 37th Chinese Control Conference, CCC 2018",

address = "United States",

}

Zhang, J, Tnunay, H, Wang, C, Lyu, X & Ding, Z 2018, Distributed Coverage Optimization and Control with Applications to Precision Agriculture. in X Chen & Q Zhao (eds), Proceedings of the 37th Chinese Control Conference, CCC 2018., 8483269, Chinese Control Conference, CCC, vol. 2018-July, IEEE Computer Society, pp. 6836-6841, 37th Chinese Control Conference, CCC 2018, Wuhan, China, 25/07/18. https://doi.org/10.23919/ChiCC.2018.8483269

Distributed Coverage Optimization and Control with Applications to Precision Agriculture. / Zhang, Jun; Tnunay, Hilton; Wang, Chunyan et al.
Proceedings of the 37th Chinese Control Conference, CCC 2018. ed. / Xin Chen; Qianchuan Zhao. IEEE Computer Society, 2018. p. 6836-6841 8483269 (Chinese Control Conference, CCC; Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Distributed Coverage Optimization and Control with Applications to Precision Agriculture

AU - Zhang, Jun

AU - Tnunay, Hilton

AU - Wang, Chunyan

AU - Lyu, Xinguang

AU - Ding, Zhengtao

PY - 2018/10/5

Y1 - 2018/10/5

N2 - In this paper, distributed coverage optimization and control problem with collision avoidance and parameter estimation are studied. First, we consider the case that the density function φ(q) is known by all the robots in the network. By using the interaction term of Voronoi neighbour, coverage optimization and control protocols are designed in a distributed way such that the best position of each robot can be determined and all the robots can move to the best positions without collision. Then, we consider the case that the density function φ(q) is not known by the robots. By using the adaptive technique, the density function φ(q) can be estimated in a fast and distributed way. Finally, the proposed coverage control scheme are applied to remote sensing for precision farming and the effectiveness of the strategy is validated through some simulation results.

AB - In this paper, distributed coverage optimization and control problem with collision avoidance and parameter estimation are studied. First, we consider the case that the density function φ(q) is known by all the robots in the network. By using the interaction term of Voronoi neighbour, coverage optimization and control protocols are designed in a distributed way such that the best position of each robot can be determined and all the robots can move to the best positions without collision. Then, we consider the case that the density function φ(q) is not known by the robots. By using the adaptive technique, the density function φ(q) can be estimated in a fast and distributed way. Finally, the proposed coverage control scheme are applied to remote sensing for precision farming and the effectiveness of the strategy is validated through some simulation results.

KW - Coverage Control

KW - Density Function Estimation

KW - Distributed Strategy

KW - Precision Agriculture

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DO - 10.23919/ChiCC.2018.8483269

M3 - Conference contribution

AN - SCOPUS:85056118211

T3 - Chinese Control Conference, CCC

SP - 6836

EP - 6841

BT - Proceedings of the 37th Chinese Control Conference, CCC 2018

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Y2 - 25 July 2018 through 27 July 2018

ER -

Distributed Coverage Optimization and Control with Applications to Precision Agriculture

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