A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
IEEE/CAA Journal of Automatica Sinica
| Citation: | Z. Jiang, X. Liu, X. Jiang, and J. Cao, “Predefined-time constrained optimization of multi-agent systems under impulsive effects,” IEEE/CAA J. Autom. Sinica, vol. 12, no. 1, pp. 255–257, Jan. 2025. doi: 10.1109/JAS.2024.124710
|
| [1] |
M. Tang, J. Sheng, and S. Sun, “A coverage optimization algorithm for underwater acoustic sensor networks based on dijkstra method,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1769–1771, 2023. doi: 10.1109/JAS.2023.123279
|
| [2] |
K. Ullah, G. Hafeez, I. Khan, S. Jan, and N. Javaid, “A multi-objective energy optimization in smart grid with high penetration of renewable energy sources,” Appl. Energy, vol. 299, p. 117104, 2021. doi: 10.1016/j.apenergy.2021.117104
|
| [3] |
F. Chen and W. Ren, “Convex optimization via finite-time projected gradient flows,” in Proc. IEEE Conf. Decis. Control. 2018, pp. 4072–4077.
|
| [4] |
K. Garg and D. Panagou, “Fixed-time stable gradient flows: Applications to continuous-time optimization,” IEEE Trans. Autom. Control, vol. 66, no. 5, pp. 2002–2015, 2021. doi: 10.1109/TAC.2020.3001436
|
| [5] |
L. Guo, X. Shi, and J. Cao, “Exponential convergence of primal-dual dynamical system for linear constrained optimization,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 4, pp. 745–748, 2022. doi: 10.1109/JAS.2022.105485
|
| [6] |
M. Santilli, A. Furchì, G. Oliva, and A. Gasparri, “A finite-time protocol for distributed time-varying optimization over a graph,” IEEE Trans. Control Netw. Syst., 2023. doi: 10.1109/TCNS.2023.3272220
|
| [7] |
Z. Feng and G. Hu, “Attack-resilient distributed convex optimization of cyber-physical systems against malicious cyber-attacks over random digraphs,” IEEE Internet Things J., vol. 10, no. 1, pp. 458–472, 2023. doi: 10.1109/JIOT.2022.3201583
|
| [8] |
C. Zhu, X. Han, and X. Li, “Analysis and design of time-delay impulsive systems subject to actuator saturation,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 1, pp. 196–204, 2024. doi: 10.1109/JAS.2023.123720
|
| [9] |
R. Armellin, “Collision avoidance maneuver optimization with a multiple-impulse convex formulation,” Acta Astronaut., vol. 186, pp. 347–362, 2021. doi: 10.1016/j.actaastro.2021.05.046
|
| [10] |
M. Li, W. Liu, J. Si, J. W. Stallrich, and H. Huang, “Hierarchical optimization for control of robotic knee prostheses toward improved symmetry of propulsive impulse,” IEEE Trans. Biomed. Eng., vol. 70, no. 5, pp. 1634–1642, 2023. doi: 10.1109/TBME.2022.3224026
|
| [11] |
M. Firouzbahrami and A. Nobakhti, “Cooperative fixed-time/finite-time distributed robust optimization of multi-agent systems,” Automatica, vol. 142, p. 110358, 2022. doi: 10.1016/j.automatica.2022.110358
|
| [12] |
M. Forti, M. Grazzini, P. Nistri, and L. Pancioni, “Generalized lyapunov approach for convergence of neural networks with discontinuous or non-lipschitz activations,” Physica D, vol. 214, no. 1, pp. 88–99, 2006. doi: 10.1016/j.physd.2005.12.006
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