Search Results - "distributed event-triggered algorithm"
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Source: 2024 China Automation Congress (CAC). :1106-1111
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Source: IEEE Transactions on Cybernetics. 54:2224-2234
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 12. Responsible consumption
Access URL: https://pubmed.ncbi.nlm.nih.gov/36383587
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Source: Asian Journal of Control.
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Authors: et al.
Source: 2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC). :453-458
Subject Terms: 0209 industrial biotechnology, 02 engineering and technology
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Source: Journal of Circuits, Systems and Computers. 33
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Source: Automatica. 170:111877
Subject Terms: 0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology, Mathematics - Optimization and Control
Access URL: http://arxiv.org/abs/2210.14415
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Source: IET Control Theory & Applications. 14:1937-1946
Subject Terms: 0209 industrial biotechnology, 02 engineering and technology, 12. Responsible consumption
Access URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-cta.2019.1169
https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-cta.2019.1169
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cta.2019.1169
https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2019.1169 -
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Source: 2020 Chinese Control And Decision Conference (CCDC). :1284-1289
Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy
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Source: IET Control Theory & Applications. 14:253-261
Subject Terms: 0209 industrial biotechnology, 02 engineering and technology
Access URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-cta.2019.0377
https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2019.0377
https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2019.0377
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cta.2019.0377 -
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Source: Kybernetika. :747-764
Subject Terms: 0209 industrial biotechnology, 02 engineering and technology, 12. Responsible consumption
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Source: International Journal of Electrical Power & Energy Systems. 155:109501
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Contributors: et al.
Source: International Journal of Electrical Power & Energy Systems ; volume 155, page 109501 ; ISSN 0142-0615
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Source: Asian Journal of Control; Nov2025, Vol. 27 Issue 6, p2929-2939, 11p
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Source: 2025 6th International Conference on Internet of Things, Artificial Intelligence and Mechanical Automation (IoTAIMA) ; page 292-296
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Source: Journal of Circuits, Systems & Computers; 8/1/2024, Vol. 33 Issue 12, p1-24, 24p
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Subject Terms: keyword:distributed optimization, keyword:event-triggered strategy, keyword:multi-agent systems, keyword:resource allocation, msc:37N40, msc:90C26, msc:93A14
File Description: application/pdf
Relation: mr:MR3750101; zbl:Zbl 06861622; reference:[1] Beck, A., Nedić, A., Ozdaglar, A., Teboulle, M.: An $O(1/k)$ gradient method for network resource allocation problems.IEEE Trans. Control Network Systems 1 (2014), 64-74. MR 3245002, 10.1109/tcns.2014.2309751; reference:[2] Chen, W., Ren, W.: Event-triggered zero-gradient-sum distributed consensus optimization over directed networks.Automatica 65 (2016), 90-97. Zbl 1328.93167, MR 3447697, 10.1016/j.automatica.2015.11.015; reference:[3] Deng, Z., Wang, X., Hong, Y.: Distributed optimization design with triggers for disturbed continuous-time multi-agent systems.IET Control Theory Appl. 11 (2017), 282-290. MR 3675134, 10.1049/iet-cta.2016.0795; reference:[4] Ghadimi, E., Shames, I., Johansson, M.: Multi-step gradient methods for networked optimization.IEEE Trans. Signal Processing 61 (2013), 5417-5429. 10.1109/tsp.2013.2278149; reference:[5] Godsil, C., Royle, G.: Algebraic Graph Theory.Springer-Verlag, New York 2001. Zbl 0968.05002, MR 1829620, 10.1007/978-1-4613-0163-9; reference:[6] Gao, Y., Wang, L.: Sampled-data based consensus of continuous-time multi-agent systems with time-varying topology.IEEE Trans. Automat. Control 56 (2011), 1226-1231. MR 2815935, 10.1109/tac.2011.2112472; reference:[7] Ho, Y. C., Servi, L., Suri, R.: A class of center-free resource allocation algorithms.Large Scale Systems 1 (1980), 51-62. MR 0617154; reference:[8] Khalil, H. K.: Nonlinear Systems. Third edition.Prentice Hall, New Jersey 2002.; reference:[9] Kia, S. S., Cortés, J., Martínez, S.: Distributed convex optimization via continuous-time coordinate alorithms with discrete-time communication.Automatica 55 (2015), 254-264. MR 3336675, 10.1016/j.automatica.2015.03.001; reference:[10] Lehmann, D., Lunze, J.: Event-based control with communication delays and packet losses.Int. J. Control 85 (2012), 563-577. MR 2913571, 10.1080/00207179.2012.659760; reference:[11] Lakshmanan, H., Farias, D. P.: Decentralized resource allocation in dynamic networks of agents.SIAM J. Optim. 19 (2008), 911-940. MR 2448920, 10.1137/060662228; reference:[12] Hu, J., Chen, G., Li, H.: Distributed event-triggered tracking control of leader-follower multi-agent systems with communication delays.Kybernetika 47 (2011), 630-643. Zbl 1227.93008, MR 2884865; reference:[13] Nedić, A., Ozdaglar, A., Parrilo, P. A.: Constrained consensus and optimization in multi-agent networks.IEEE Trans. Automat. Control 55 (2010), 922-938. MR 2654432, 10.1109/tac.2010.2041686; reference:[14] Lou, Y., Shi, G., Johansson, K., Hong, Y.: Approximate projected consensus for convex interesection computation: convergence analysis and critical error angle.IEEE Trans. Automat. Control 59 (2014), 1722-1736. MR 3232068, 10.1109/tac.2014.2309261; reference:[15] Rockafellar, R. T.: Convex Analysis.Princeton University Press, Princeton 1972. Zbl 1011.49013, MR 0274683; reference:[16] Ruszczynski, A. P.: Nonlinear Optimization.Princeton University Press, Princeton 2006. MR 2199043; reference:[17] Tabuada, P.: Event-triggered real-time scheduling of stabilizing control tasks.IEEE Trans. Automat. Control 52 (2007), 1680-1685. MR 2352444, 10.1109/tac.2007.904277; reference:[18] Wang, X., Yi, P., Hong, Y.: Dynamic optimization for multi-agent systems with external disturbances.Control Theory Technol. 12 (2014), 132-138. MR 3199533, 10.1007/s11768-014-0036-y; reference:[19] Wang, X., Deng, Z., Ma, S., Du, X.: Event-triggered design for multi-agent optimal consensus of Euler-Lagrangian systems.Kybernetika 1 (2017), 179-194. MR 3638563; reference:[20] Xiao, L., Boyd, S.: Optimal scaling of a gradient method for distributed resource allocation.J. Optim. Theory and Appl. 129 (2006), 469-488. MR 2281152, 10.14736/kyb-2017-1-0179; reference:[21] Zhang, Y., Hong, Y.: Distributed event-triggered tracking control of multi-agent systems with active leader.In: Proc. 10th IEEE World Congress on Intelligent Control and Automation 2012, pp. 1453-1458. 10.1109/wcica.2012.6358108; reference:[22] Zhang, Y., Lou, Y., Hong, Y., Xie, L.: Distributed projection-based algorithms for source localization in wireless sensor networks.IEEE Trans. Wireless Communications 14 (2015), 3131-3142. MR 2960500, 10.1109/twc.2015.2402672; reference:[23] Yi, P., Hong, Y., Liu, F.: Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems.Automatica 74 (2016), 259-269. MR 3569392, 10.1016/j.automatica.2016.08.007
Availability: http://hdl.handle.net/10338.dmlcz/147090
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Source: IET Control Theory & Applications (Wiley-Blackwell); Jan2020, Vol. 14 Issue 2, p253-261, 9p
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Source: Kybernetika; 2017, Vol. 53 Issue 5, p747-764, 18p, 8 Graphs
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Source: Asian Journal of Control; Mar2025, Vol. 27 Issue 2, p750-764, 15p
Subject Terms: OPTIMIZATION algorithms, LINEAR programming, ALGORITHMS, BANDWIDTHS, DISTRIBUTED algorithms
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Source: International Journal of Systems Science; Nov2024, Vol. 55 Issue 15, p3291-3303, 13p
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