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Distributed Extremum Seeking and Cooperative Control for Mobile Cooperative Communication Systems

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Date Issued:
2013
Abstract/Description:
In this thesis, a distributed extremum seeking and cooperative control algorithm is designed for mobile agents to dispersethemselves optimally in maintaining communication quality and maximizing their coverage. The networked mobile agentslocally form a virtual multiple-input multiple-output (MIMO) communication system, and they cooperatively communicateamong them by using the decode and forward cooperative communication technique. The outage probability is usedas the measure of communication quality, and it can be estimated real-time. A general performance index balancing outageprobability and spatial dispersion is chosen for the overall system. The extremum seeking control approachis used to estimate and optimize the value of the performance index, and the cooperative formation control is applied tomove the mobile agents to achieve the optimal solution by using only the locally-available information. Through theintegration of cooperative communication and cooperative control, network connectivity and coverage of the mobile agentsare much improved when compared to either non-cooperative communication approaches or other existing control results.Analytical analysis is carried out to demonstrate the performance and robustness of the proposal methodology, andsimulation is done to illustrate its effectiveness.
Title: Distributed Extremum Seeking and Cooperative Control for Mobile Cooperative Communication Systems.
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Name(s): Alabri, Said, Author
Qu, Zhihua, Committee Chair
Wei, Lei, Committee Member
Vosoughi, Azadeh, Committee Member
Atia, George, Committee Member
, Committee Member
University of Central Florida, Degree Grantor
Type of Resource: text
Date Issued: 2013
Publisher: University of Central Florida
Language(s): English
Abstract/Description: In this thesis, a distributed extremum seeking and cooperative control algorithm is designed for mobile agents to dispersethemselves optimally in maintaining communication quality and maximizing their coverage. The networked mobile agentslocally form a virtual multiple-input multiple-output (MIMO) communication system, and they cooperatively communicateamong them by using the decode and forward cooperative communication technique. The outage probability is usedas the measure of communication quality, and it can be estimated real-time. A general performance index balancing outageprobability and spatial dispersion is chosen for the overall system. The extremum seeking control approachis used to estimate and optimize the value of the performance index, and the cooperative formation control is applied tomove the mobile agents to achieve the optimal solution by using only the locally-available information. Through theintegration of cooperative communication and cooperative control, network connectivity and coverage of the mobile agentsare much improved when compared to either non-cooperative communication approaches or other existing control results.Analytical analysis is carried out to demonstrate the performance and robustness of the proposal methodology, andsimulation is done to illustrate its effectiveness.
Identifier: CFE0005082 (IID), ucf:50744 (fedora)
Note(s): 2013-05-01
M.S.E.E.
Engineering and Computer Science, Electrical Engr and Computing
Masters
This record was generated from author submitted information.
Subject(s): cooperative control -- extremum control -- cooperative communication -- connectivity -- coverage
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFE0005082
Restrictions on Access: public 2013-11-15
Host Institution: UCF

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