https://projectswiki.eleceng.adelaide.edu.au/projects/api.php?action=feedcontributions&feedformat=atom&user=A1708256 2026-04-17T11:23:16Z User contributions MediaWiki 1.31.4 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2019s2-23301_Robust_Formation_Control_for_Multi-Vehicle_Systems&diff=12919 2019-09-22T14:42:09Z

<p>A1708256: /* Supervisors */</p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2019s2|23301]]<br /> Formation control has been widely used in the control of robots, sicne it can improve the overall efficency of the system. In this project, we aim to design a robust formation control for multi-vehicle system, in which the system can deal with at least one network problem or physical failure. <br /> == Introduction ==<br /> Formation control of multi-agent systems (MASs) has been widely used for cooperative tasks in such applications as terrain exploration, mobile networks and traffic control. However, the communication-induced problems and the high failure risk of increasingequipment has created a number of challenges for the security of MASs. The objective of this project is to design a robust formation control strategy for a multi-vehicle system against communication/physical failures (e.g., network attacks, link failures, packet dropouts, sensor/actuator faults). The vehicles are designed to detect the local environments by visual navigation and achieve a self-organisation formation. The robust fault-tolerant control strategy is investigated to deal with at least one network problem or physical failure. The effectiveness of the formation control strategy and its robustness should be verified by both simulations and experiments. Potential applications are in large flexibility MASs and high-security Cyber-Physical Systems.Currently, our lab is equipped with a multi-vehicle platform, consisting of quadrotors, ground robots and camera location systems. Algorithms are developed by either Matlab Code or C language. MATLAB, Simulink, OpenGL, Motive and Visual Studio are possiblesoftware to be chosen for this project.<br /> <br /> === Project team ===<br /> ==== Project students ====<br /> * Abdul Rahim Mohammad<br /> * Jie Yang<br /> * Kamalpreet Singh<br /> * Zirui Xie<br /> ==== Supervisors ====<br /> *Prof. Peng Shi<br /> *Prof. Cheng-Chew Lim<br /> <br /> ==== Advisors ====<br /> *Xin Yuan<br /> *Bing Yan<br /> *Yuan Sun<br /> *Yang Fei<br /> <br /> === Objectives ===<br /> Design a robust formation control for multi-vehicle system to achieve:<br /> <br /> *Self-decision making<br /> *Environment detection<br /> *Communication<br /> *Obstacle avoidance<br /> *Tolerance to physical or network problem<br /> <br /> == Background ==<br /> === Topic 1 ===<br /> <br /> == Method ==<br /> <br /> == Results ==<br /> <br /> == Conclusion ==<br /> <br /> == References ==<br /> [1] Wooldridge, M (2002). An Introduction to MultiAgent Systems. John Wiley &amp; Sons. ISBN 978-0-471-49691-5<br /> <br /> [2] Balaji, P., &amp; Srinivasan, D. (2010). An introduction to multi-agent systems. Studies in Computational Intelligence, 310, 1-27.<br /> <br /> [3] Hong-Jun M., &amp; Guang-Hong Y. (2016). Adaptive Fault Tolerant Control of Cooperative Heterogeneous Systems With Actuator Faults and Unreliable Interconnections. IEEE Transactions on Automatic Control, 61(11), 3240-3255.<br /> <br /> [4] Oh k, Park M, &amp; Ahn H. (2015). A survey of multi-agent formation control. Automatica, 53, 424-440.<br /> <br /> [5] Khatib, O. (1986). Real-Time Obstacle Avoidance for Manipulators and Mobile Robots. The International Journal of Robotics Research, 5(1), 90–98. https://doi.org/10.1177/027836498600500106<br /> <br /> [6] Autonomous Ground Vehicles Self-Guided Formation Control https://github.com/vitsensei/Trionychid-Formation-Control</div>

A1708256 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2019s2-23301_Robust_Formation_Control_for_Multi-Vehicle_Systems&diff=12880 2019-09-22T07:27:19Z

<p>A1708256: </p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2019s2|23301]]<br /> Formation control has been widely used in the control of robots, sicne it can improve the overall efficency of the system. In this project, we aim to design a robust formation control for multi-vehicle system, in which the system can deal with at least one network problem or physical failure. <br /> == Introduction ==<br /> <br /> <br /> === Project team ===<br /> ==== Project students ====<br /> * Abdul Rahim Mohammad<br /> * Jie Yang<br /> * Kamalpreet Singh<br /> * Zirui Xie<br /> ==== Supervisors ====<br /> *Peng Shi<br /> *Cheng-Chew Lim<br /> ==== Advisors ====<br /> *Xin Yuan<br /> *Bing Yan<br /> *Yuan Sun<br /> *Yang Fei<br /> <br /> === Objectives ===<br /> Formation control of multi-agent systems (MASs) has been widely used for cooperative tasks in such applications as terrain exploration, mobile networks and traffic control. However, the communication-induced problems and the high failure risk of increasingequipment has created a number of challenges for the security of MASs. The objective of this project is to design a robust formation control strategy for a multi-vehicle system against communication/physical failures (e.g., network attacks, link failures, packet dropouts, sensor/actuator faults). The vehicles are designed to detect the local environments by visual navigation and achieve a self-organisation formation. The robust fault-tolerant control strategy is investigated to deal with at least one network problem or physical failure. The effectiveness of the formation control strategy and its robustness should be verified by both simulations and experiments. Potential applications are in large flexibility MASs and high-security Cyber-Physical Systems.Currently, our lab is equipped with a multi-vehicle platform, consisting of quadrotors, ground robots and camera location systems. Algorithms are developed by either Matlab Code or C language. MATLAB, Simulink, OpenGL, Motive and Visual Studio are possiblesoftware to be chosen for this project .<br /> <br /> == Background ==<br /> === Topic 1 ===<br /> <br /> == Method ==<br /> <br /> == Results ==<br /> <br /> == Conclusion ==<br /> <br /> == References ==<br /> [1] Wooldridge, M (2002). An Introduction to MultiAgent Systems. John Wiley &amp; Sons. ISBN 978-0-471-49691-5<br /> <br /> [2] Balaji, P., &amp; Srinivasan, D. (2010). An introduction to multi-agent systems. Studies in Computational Intelligence, 310, 1-27.<br /> <br /> [3] Hong-Jun M., &amp; Guang-Hong Y. (2016). Adaptive Fault Tolerant Control of Cooperative Heterogeneous Systems With Actuator Faults and Unreliable Interconnections. IEEE Transactions on Automatic Control, 61(11), 3240-3255.<br /> <br /> [4] Oh k, Park M, &amp; Ahn H. (2015). A survey of multi-agent formation control. Automatica, 53, 424-440.<br /> <br /> [5] Khatib, O. (1986). Real-Time Obstacle Avoidance for Manipulators and Mobile Robots. The International Journal of Robotics Research, 5(1), 90–98. https://doi.org/10.1177/027836498600500106<br /> <br /> [6] Autonomous Ground Vehicles Self-Guided Formation Control https://github.com/vitsensei/Trionychid-Formation-Control</div>

A1708256 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2019s2-23301_Robust_Formation_Control_for_Multi-Vehicle_Systems&diff=12879 2019-09-22T06:59:50Z

<p>A1708256: /* Introduction */</p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2019s2|23301]]<br /> Abstract here<br /> == Introduction ==<br /> <br /> <br /> === Project team ===<br /> ==== Project students ====<br /> * Abdul Rahim Mohammad<br /> * Jie Yang<br /> * Kamalpreet Singh<br /> * Zirui Xie<br /> ==== Supervisors ====<br /> *Peng Shi<br /> *Cheng-Chew Lim<br /> ==== Advisors ====<br /> *Xin Yuan<br /> *Bing Yan<br /> *Yuan Sun<br /> *Yang Fei<br /> <br /> === Objectives ===<br /> Formation control of multi-agent systems (MASs) has been widely used for cooperative tasks in such applications as terrain exploration, mobile networks and traffic control. However, the communication-induced problems and the high failure risk of increasingequipment has created a number of challenges for the security of MASs. The objective of this project is to design a robust formation control strategy for a multi-vehicle system against communication/physical failures (e.g., network attacks, link failures, packet dropouts, sensor/actuator faults). The vehicles are designed to detect the local environments by visual navigation and achieve a self-organisation formation. The robust fault-tolerant control strategy is investigated to deal with at least one network problem or physical failure. The effectiveness of the formation control strategy and its robustness should be verified by both simulations and experiments. Potential applications are in large flexibility MASs and high-security Cyber-Physical Systems.Currently, our lab is equipped with a multi-vehicle platform, consisting of quadrotors, ground robots and camera location systems. Algorithms are developed by either Matlab Code or C language. MATLAB, Simulink, OpenGL, Motive and Visual Studio are possiblesoftware to be chosen for this project .<br /> <br /> == Background ==<br /> === Topic 1 ===<br /> <br /> == Method ==<br /> <br /> == Results ==<br /> <br /> == Conclusion ==<br /> <br /> == References ==<br /> [1] Wooldridge, M (2002). An Introduction to MultiAgent Systems. John Wiley &amp; Sons. ISBN 978-0-471-49691-5<br /> <br /> [2] Balaji, P., &amp; Srinivasan, D. (2010). An introduction to multi-agent systems. Studies in Computational Intelligence, 310, 1-27.<br /> <br /> [3] Hong-Jun M., &amp; Guang-Hong Y. (2016). Adaptive Fault Tolerant Control of Cooperative Heterogeneous Systems With Actuator Faults and Unreliable Interconnections. IEEE Transactions on Automatic Control, 61(11), 3240-3255.<br /> <br /> [4] Oh k, Park M, &amp; Ahn H. (2015). A survey of multi-agent formation control. Automatica, 53, 424-440.<br /> <br /> [5] Khatib, O. (1986). Real-Time Obstacle Avoidance for Manipulators and Mobile Robots. The International Journal of Robotics Research, 5(1), 90–98. https://doi.org/10.1177/027836498600500106<br /> <br /> [6] Autonomous Ground Vehicles Self-Guided Formation Control https://github.com/vitsensei/Trionychid-Formation-Control</div>

A1708256 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Projects:2019s2-23301_Robust_Formation_Control_for_Multi-Vehicle_Systems&diff=12877 2019-09-22T06:57:37Z

<p>A1708256: /* Introduction */</p> <hr /> <div>[[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2018s1|106]]<br /> Abstract here<br /> == Introduction ==<br /> The formation behaviour<br /> <br /> === Project team ===<br /> ==== Project students ====<br /> * Abdul Rahim Mohammad<br /> * Jie Yang<br /> * Kamalpreet Singh<br /> * Zirui Xie<br /> ==== Supervisors ====<br /> *Peng Shi<br /> *Cheng-Chew Lim<br /> ==== Advisors ====<br /> *Xin Yuan<br /> *Bing Yan<br /> *Yuan Sun<br /> *Yang Fei<br /> <br /> === Objectives ===<br /> Formation control of multi-agent systems (MASs) has been widely used for cooperative tasks in such applications as terrain exploration, mobile networks and traffic control. However, the communication-induced problems and the high failure risk of increasingequipment has created a number of challenges for the security of MASs. The objective of this project is to design a robust formation control strategy for a multi-vehicle system against communication/physical failures (e.g., network attacks, link failures, packet dropouts, sensor/actuator faults). The vehicles are designed to detect the local environments by visual navigation and achieve a self-organisation formation. The robust fault-tolerant control strategy is investigated to deal with at least one network problem or physical failure. The effectiveness of the formation control strategy and its robustness should be verified by both simulations and experiments. Potential applications are in large flexibility MASs and high-security Cyber-Physical Systems.Currently, our lab is equipped with a multi-vehicle platform, consisting of quadrotors, ground robots and camera location systems. Algorithms are developed by either Matlab Code or C language. MATLAB, Simulink, OpenGL, Motive and Visual Studio are possiblesoftware to be chosen for this project .<br /> <br /> == Background ==<br /> === Topic 1 ===<br /> <br /> == Method ==<br /> <br /> == Results ==<br /> <br /> == Conclusion ==<br /> <br /> == References ==<br /> [1] Wooldridge, M (2002). An Introduction to MultiAgent Systems. John Wiley &amp; Sons. ISBN 978-0-471-49691-5<br /> <br /> [2] Balaji, P., &amp; Srinivasan, D. (2010). An introduction to multi-agent systems. Studies in Computational Intelligence, 310, 1-27.<br /> <br /> [3] Hong-Jun M., &amp; Guang-Hong Y. (2016). Adaptive Fault Tolerant Control of Cooperative Heterogeneous Systems With Actuator Faults and Unreliable Interconnections. IEEE Transactions on Automatic Control, 61(11), 3240-3255.<br /> <br /> [4] Oh k, Park M, &amp; Ahn H. (2015). A survey of multi-agent formation control. Automatica, 53, 424-440.<br /> <br /> [5] Khatib, O. (1986). Real-Time Obstacle Avoidance for Manipulators and Mobile Robots. The International Journal of Robotics Research, 5(1), 90–98. https://doi.org/10.1177/027836498600500106<br /> <br /> [6] Autonomous Ground Vehicles Self-Guided Formation Control https://github.com/vitsensei/Trionychid-Formation-Control</div>

A1708256 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Project_Skeleton&diff=12876 2019-09-22T06:53:13Z

<p>A1708256: /* Advisors */</p> <hr /> <div>Abstract here<br /> == Project team ==<br /> === Advisors ===<br /> * Xin Yuan<br /> *<br /> <br /> == Project status ==<br /> <br /> === Sub section ===<br /> <br /> == Conclusion ==</div>

A1708256 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Resources:Wiki_writing_resources&diff=12875 2019-09-22T06:52:57Z

<p>A1708256: /* Base code */</p> <hr /> <div>[[Category:Resources|Wiki writing]]<br /> [[Category:Final Year Projects]]<br /> The Projects Wiki journals the projects that the school has commissioned. It is the project students who update and maintain the projects wiki that showcases the projects they have worked on. Here are some resources to help with the wiki development.<br /> == Base code ==<br /> Each project wiki should have the following skeleton. The skeleton will produce a page as shown in the [[Project Skeleton]].<br /> &lt;pre&gt;<br /> [[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2019s2|23301]]<br /> Abstract here<br /> == Introduction ==<br /> This project aims to design a robust formation control for multi-vehicle systems.<br /> <br /> === Project team ===<br /> ==== Project students ====<br /> * &lt;Jie Yang&gt;<br /> * Zirui Xie<br /> * Abdul Rahim Mohammad <br /> * Kamalpreet Singh<br /> ==== Supervisors ====<br /> * Prof.Peng Shi<br /> * Prof.Chengchew Lim<br /> ==== Advisors ====<br /> * Xin Yuan<br /> * Crystal Yan<br /> * Yang Fei <br /> * Yuan Sun<br /> === Objectives ===<br /> This project aims to design a robust formation control for multi-vehicle systems.<br /> <br /> == Background ==<br /> === Topic 1 ===<br /> <br /> == Method ==<br /> <br /> == Results ==<br /> <br /> == Conclusion ==<br /> <br /> == References ==<br /> [1] a, b, c, &quot;Simple page&quot;, In Proceedings of the Conference of Simpleness, 2010.<br /> <br /> [2] ...<br /> &lt;/pre&gt;<br /> Please update the semester &#039;2018s1&#039; and project number &#039;106&#039; to your project details.<br /> <br /> == Links ==<br /> * https://meta.wikimedia.org/wiki/Help:Contents#For_editors<br /> * https://meta.wikimedia.org/wiki/Help:Advanced_editing</div>

A1708256 https://projectswiki.eleceng.adelaide.edu.au/projects/index.php?title=Resources:Wiki_writing_resources&diff=12874 2019-09-22T06:52:04Z

<p>A1708256: /* Base code */</p> <hr /> <div>[[Category:Resources|Wiki writing]]<br /> [[Category:Final Year Projects]]<br /> The Projects Wiki journals the projects that the school has commissioned. It is the project students who update and maintain the projects wiki that showcases the projects they have worked on. Here are some resources to help with the wiki development.<br /> == Base code ==<br /> Each project wiki should have the following skeleton. The skeleton will produce a page as shown in the [[Project Skeleton]].<br /> &lt;pre&gt;<br /> [[Category:Projects]]<br /> [[Category:Final Year Projects]]<br /> [[Category:2019s2|23301]]<br /> Abstract here<br /> == Introduction ==<br /> This project aims to design a robust formation control for multi-vehicle systems.<br /> <br /> === Project team ===<br /> ==== Project students ====<br /> * Jie Yang<br /> * Zirui Xie<br /> * Abdul Rahim Mohammad <br /> * Kamalpreet Singh<br /> ==== Supervisors ====<br /> * Prof.Peng Shi<br /> * Prof.Chengchew Lim<br /> ==== Advisors ====<br /> * Xin Yuan<br /> * Crystal Yan<br /> * Yang Fei <br /> * Yuan Sun<br /> === Objectives ===<br /> This project aims to design a robust formation control for multi-vehicle systems.<br /> <br /> == Background ==<br /> === Topic 1 ===<br /> <br /> == Method ==<br /> <br /> == Results ==<br /> <br /> == Conclusion ==<br /> <br /> == References ==<br /> [1] a, b, c, &quot;Simple page&quot;, In Proceedings of the Conference of Simpleness, 2010.<br /> <br /> [2] ...<br /> &lt;/pre&gt;<br /> Please update the semester &#039;2018s1&#039; and project number &#039;106&#039; to your project details.<br /> <br /> == Links ==<br /> * https://meta.wikimedia.org/wiki/Help:Contents#For_editors<br /> * https://meta.wikimedia.org/wiki/Help:Advanced_editing</div>

A1708256