Academic literature on the topic 'Finite-time cooperative control'

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Journal articles on the topic "Finite-time cooperative control"

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Yucelen, Tansel, Zhen Kan, and Eduardo Pasiliao. "Finite-Time Cooperative Engagement." IEEE Transactions on Automatic Control 64, no. 8 (August 2019): 3521–26. http://dx.doi.org/10.1109/tac.2018.2881132.

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Li, Yue, Jun Yang, and Ke Zhang. "Distributed Finite-Time Cooperative Control for Quadrotor Formation." IEEE Access 7 (2019): 66753–63. http://dx.doi.org/10.1109/access.2019.2915594.

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Jiang, Zhanyuan, Jianquan Ge, Qiangqiang Xu, and Tao Yang. "Terminal Impact Time Control Cooperative Guidance Law for UAVs under Time-Varying Velocity." Drones 5, no. 3 (September 17, 2021): 100. http://dx.doi.org/10.3390/drones5030100.

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Aiming at the problem that multiple Unmanned Aerial Vehicles (UAVs) attack the stationary target cooperatively under time-varying velocity, the cooperative guidance law with finite time convergence on two-dimensional plan and the three-dimensional cooperative guidance laws with impact time constraint are designed separately in this paper. Firstly, based on the relative motion equation between UAV and target on two-dimensional plane, the time cooperative guidance model of multiple UAVs is established. Then based on the consistency theory and graph theory, a distributed time cooperative guidance law is designed, which can ensure that the impact time of all UAVs can be quickly consistent in a limited time. Next, the cooperative guidance problem is expanded from two-dimensional plane to three-dimensional space, the motion model between UAV and target in three-dimensional space is established and the expression of time-to-go estimation under time-varying velocity is derived. Finally, according to whether there is the communication among UAVs under the condition of time-varying velocity, a multiple UAVs three-dimensional cooperative guidance law based on desired impact time and a multiple UAVs three-dimensional cooperative guidance law based on coordination variables are designed, respectively. The simulation results show that the cooperative guidance law with finite time convergence on two-dimensional plan and the three-dimensional cooperative guidance law with impact time constraint proposed in this paper are effective, which can both realize the saturation attack under the time-varying velocity.
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Jiao, Jianfang, and Mingyu Fu. "Finite-Time Cooperative Tracking Control Algorithm for Multiple Surface Vessels." Abstract and Applied Analysis 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/807102.

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We investigate the problem of finite-time cooperative tracking for multiple surface vessels in the presence of external disturbances. A robust finite-time cooperative tracking algorithm based on terminal sliding-mode control is proposed for multiple surface vessels. In light of the leader-follower strategy, a virtual leader vessel is defined to provide reference point for other surface vessels to form the desired formation. Specifically, the proposed algorithm only requires the communication topology among the surface vessels to be a directed graph with a directed spanning tree. The robustness is achieved by compensating the upper bound of external disturbance in the control input, and the global finite-time stability is proved by Lyapunov stability theory. Finally, the effectiveness of the proposed finite-time cooperative tracking control algorithm is demonstrated by simulation results.
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Tan, Wenbo, and Na Huang. "Event-based rigid formation system with cooperative finite-time control." IMA Journal of Mathematical Control and Information 39, no. 1 (January 18, 2022): 235–53. http://dx.doi.org/10.1093/imamci/dnab041.

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Abstract We note that most of the rigid formation control based on distance-constrained theory only guarantees exponential or asymptotic convergence of the system. In this paper, we proposed a finite-time event-based control scheme applied in rigid formation control system. Centralized finite-time event-based formation control system is designed where the next trigger time is determined by a central event-based controller, which broadcasts and updates the control input signal to all agents. Then, we build a distributed finite-time event-based control strategy, different from the above system where each agent only uses its own local information. For the above two protocols, we discussed the trigger situation, which ensures that the formation system converges in a finite time. Finally, simulation results proved the performance and effectiveness of the proposed finite-time event-based scheme.
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Chen, Gang, Yuanlong Yue, and Yongduan Song. "Finite-time cooperative-tracking control for networked Euler–Lagrange systems." IET Control Theory & Applications 7, no. 11 (July 18, 2013): 1487–97. http://dx.doi.org/10.1049/iet-cta.2013.0205.

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Ghasemi, Masood, and Sergey G. Nersesov. "Sliding Mode Cooperative Control for Multirobot Systems: A Finite-Time Approach." Mathematical Problems in Engineering 2013 (2013): 1–16. http://dx.doi.org/10.1155/2013/450201.

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Finite-time stability in dynamical systems theory involves systems whose trajectories converge to an equilibrium state in finite time. In this paper, we use the notion of finite-time stability to apply it to the problem of coordinated motion in multiagent systems. We consider a group of agents described by Euler-Lagrange dynamics along with a leader agent with an objective to reach and maintain a desired formation characterized by steady-state distances between the neighboring agents in finite time. We use graph theoretic notions to characterize communication topology in the network determined by the information flow directions and captured by the graph Laplacian matrix. Furthermore, using sliding mode control approach, we design decentralized control inputs for individual agents that use only data from the neighboring agents which directly communicate their state information to the current agent in order to drive the current agent to the desired steady state. We further extend these results to multiagent systems involving underactuated dynamical agents such as mobile wheeled robots. For this case, we show that while the position variables can be coordinated in finite time, the orientation variables converge to the steady states asymptotically. Finally, we validate our results experimentally using a wheeled mobile robot platform.
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Zhang, Lijun, Yuanqing Xia, Bing Cui, Jinhui Zhang, and Ganghui Shen. "Finite‐time cooperative attitude control for leader‐follower spacecraft with fixed‐time observer." International Journal of Robust and Nonlinear Control 30, no. 17 (September 3, 2020): 7013–30. http://dx.doi.org/10.1002/rnc.5160.

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Chen, Gang, and Qing Lin. "Finite-Time Observer Based Cooperative Tracking Control of Networked Lagrange Systems." Abstract and Applied Analysis 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/135690.

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This paper investigates the cooperative tracking control problem for networked uncertain Lagrange systems with a leader-follower structure on digraphs. Since the leader’s information is only available to a portion of the followers, finite-time observers are designed to estimate the leader’s velocity. Based on the estimated velocity information and the universal approximation ability of fuzzy logic systems, a distributed adaptive fuzzy tracking control protocol is first proposed for the fault-free Lagrange systems. Then, the actuator faults are considered and a distributed fault-tolerant controller is presented. Based on graph theory and Lyapunov theory, the convergence analyses for the proposed algorithms are provided. The development in this paper is suitable for the general directed communication topology. Numerical simulation results are presented to show the closed-loop performance of the proposed control law and illustrate its robustness to actuator faults and external disturbances.
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He, Xiaoyan, Qingyun Wang, and Wenwu Yu. "Finite-time distributed cooperative attitude tracking control for multiple rigid spacecraft." Applied Mathematics and Computation 256 (April 2015): 724–34. http://dx.doi.org/10.1016/j.amc.2015.01.061.

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Dissertations / Theses on the topic "Finite-time cooperative control"

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(9814871), Qiang Lu. "Decision and finite-time cooperative control of multi-robot systems for odour source localisation." Thesis, 2013. https://figshare.com/articles/thesis/Decision_and_finite-time_cooperative_control_of_multi-robot_systems_for_odour_source_localisation/13438202.

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In the last two decades, the problem of odour source localisation has been widely studied by using a single robot due to its practical significance for human security, such as searching for the source of toxic gas leakage and locating the origin of a fire at its initial stage. Recently, using a multi-robot system to locate the odour source has received increasing interest from researchers because of several major benefits over a single robot such as a wider detection range and multiple detection information. In this dissertation, two aspects on the odour source localisation problem are studied; one is to learn from data detected and collected by the multi-robot system to make a decision on the position of the odour source while the other is to coordinate and control the multi-robot system to locate the source of odour in terms of the decision results. In particular, a distributed coordination control architecture including two levels: a decision level and a control level, is designed. In the decision level, a new distributed decision algorithm, which can make a decision on the position of the odour source, is formulated. In the control level, a particle swarm optimization based finite-time motion control algorithm, a consensus-based finite-time motion control algorithm, and a potential-based finite-time motion control algorithm, are then developed to control the robot group to locate the odour source, respectively. Finally, the effectiveness of the proposed solutions consisting of the architecture, the decision algorithm, and the control algorithms for odour source localisation is illustrated through simulations.
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Books on the topic "Finite-time cooperative control"

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Xia, Yuanqing, Jinhui Zhang, Kunfeng Lu, and Ning Zhou. Finite Time and Cooperative Control of Flight Vehicles. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1373-8.

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Lu, Kunfeng, Ning Zhou, Yuanqing Xia, and Jinhui Zhang. Finite Time and Cooperative Control of Flight Vehicles. Springer, 2019.

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Lu, Kunfeng, Ning Zhou, Yuanqing Xia, and Jinhui Zhang. Finite Time and Cooperative Control of Flight Vehicles. Springer, 2018.

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Song, Yongduan, and Yujuan Wang. Cooperative Control of Nonlinear Networked Systems: Infinite-time and Finite-time Design Methods. Springer, 2019.

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Book chapters on the topic "Finite-time cooperative control"

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Xia, Yuanqing, Jinhui Zhang, Kunfeng Lu, and Ning Zhou. "Finite-Time Attitude Stabilization for Rigid Spacecraft." In Finite Time and Cooperative Control of Flight Vehicles, 27–49. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1373-8_3.

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Xia, Yuanqing, Jinhui Zhang, Kunfeng Lu, and Ning Zhou. "Coordination Control Design for Formation Reconfiguration of Multiple Spacecraft." In Finite Time and Cooperative Control of Flight Vehicles, 325–45. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1373-8_16.

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Xia, Yuanqing, Jinhui Zhang, Kunfeng Lu, and Ning Zhou. "Preliminaries." In Finite Time and Cooperative Control of Flight Vehicles, 3–10. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1373-8_1.

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Xia, Yuanqing, Jinhui Zhang, Kunfeng Lu, and Ning Zhou. "Attitude Control of Multiple Rigid Bodies with Uncertainties and Disturbances." In Finite Time and Cooperative Control of Flight Vehicles, 195–213. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1373-8_10.

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Xia, Yuanqing, Jinhui Zhang, Kunfeng Lu, and Ning Zhou. "Finite-Time Attitude Control of Multiple Rigid Spacecraft Using Terminal Sliding Mode." In Finite Time and Cooperative Control of Flight Vehicles, 215–31. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1373-8_11.

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Xia, Yuanqing, Jinhui Zhang, Kunfeng Lu, and Ning Zhou. "Decentralized Finite-Time Attitude Synchronization and Tracking Control for Rigid Spacecraft." In Finite Time and Cooperative Control of Flight Vehicles, 233–57. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1373-8_12.

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Xia, Yuanqing, Jinhui Zhang, Kunfeng Lu, and Ning Zhou. "Attitude Synchronization of Rigid Spacecraft with Inertia Uncertainties and Environmental Disturbances." In Finite Time and Cooperative Control of Flight Vehicles, 259–72. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1373-8_13.

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Xia, Yuanqing, Jinhui Zhang, Kunfeng Lu, and Ning Zhou. "Distributed Cooperative Control Design for Finite-Time Attitude Synchronization of Rigid Spacecraft." In Finite Time and Cooperative Control of Flight Vehicles, 273–94. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1373-8_14.

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Xia, Yuanqing, Jinhui Zhang, Kunfeng Lu, and Ning Zhou. "Distributed Fault-Tolerant Control Design for Spacecraft Finite-Time Attitude Synchronization." In Finite Time and Cooperative Control of Flight Vehicles, 295–321. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1373-8_15.

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Xia, Yuanqing, Jinhui Zhang, Kunfeng Lu, and Ning Zhou. "Finite-Time Formation Reconfiguration of Multiple Spacecraft with Collision Avoidance Problems." In Finite Time and Cooperative Control of Flight Vehicles, 347–59. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1373-8_17.

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Conference papers on the topic "Finite-time cooperative control"

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Shi, Pengfei, Jianglong Yu, Ziyan Chen, Xiwang Dong, and Zhang Ren. "Finite-time adaptive cooperative guidance for multiple missiles." In 2021 40th Chinese Control Conference (CCC). IEEE, 2021. http://dx.doi.org/10.23919/ccc52363.2021.9549677.

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Enjiao, Zhao, Tao Chao, Songyan Wang, and Ming Yang. "Cooperative Guidance Law Based on Finite Time Control Technology." In 20th AIAA International Space Planes and Hypersonic Systems and Technologies Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-3563.

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Song, Yanfei, Weisheng Chen, and Hao Dai. "Finite-time convergent distributed cooperative learning algorithm for data approximation." In 2016 35th Chinese Control Conference (CCC). IEEE, 2016. http://dx.doi.org/10.1109/chicc.2016.7554632.

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Dong, Yi. "Finite-time Cooperative Control of Multiple Uncertain Euler-Lagrange Systems*." In 2022 IEEE 17th International Conference on Control & Automation (ICCA). IEEE, 2022. http://dx.doi.org/10.1109/icca54724.2022.9831972.

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Fu, Mingyu, and Lulu Wang. "Event-triggered-based finite-time cooperative formation control for USVs." In OCEANS 2022 - Chennai. IEEE, 2022. http://dx.doi.org/10.1109/oceanschennai45887.2022.9775338.

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Bao, HanQiu, XuDong Shi, Jing An, HaoJun Li, and Qi Kang. "Generic Multi-agent Cooperative Control via Finite-time Distributed MPC." In 2022 IEEE International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2022. http://dx.doi.org/10.1109/icnsc55942.2022.10004101.

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Ma, Lingyu, Jiancheng Zhang, and Zhen Li. "Finite-time Distributed Cooperative Control of Microgrid Using Adaptive Virtual Impedance." In 2020 39th Chinese Control Conference (CCC). IEEE, 2020. http://dx.doi.org/10.23919/ccc50068.2020.9188634.

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Ziyang Meng and Zongli Lin. "Distributed finite-time cooperative tracking of networked Lagrange systems via local interactions." In 2012 American Control Conference - ACC 2012. IEEE, 2012. http://dx.doi.org/10.1109/acc.2012.6315011.

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Tang, Yiwei, and Yingmin Jia. "Finite-Time Orbit-Attitude Coupling Control for Flying Around Non-cooperative Targets." In 2022 41st Chinese Control Conference (CCC). IEEE, 2022. http://dx.doi.org/10.23919/ccc55666.2022.9902403.

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Khoo, Suiyang, Lihua Xie, Zhihong Man, and Shengkui Zhao. "Observer-based robust finite-time cooperative consensus control for multi-agent networks." In 2009 4th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2009. http://dx.doi.org/10.1109/iciea.2009.5138530.

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