A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
Volume 11
Issue 2
IEEE/CAA Journal of Automatica Sinica
| Citation: | Y. Li, W. Liu, J. Sun, C. Chen, J. Zhang, and G. Wang, “Online consensus control of nonlinear affine systems from disturbed data,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 2, pp. 551–553, Feb. 2024. doi: 10.1109/JAS.2023.123894
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L. Ding, J. Li, M. Ye, and Y. Zhao, “Fully distributed resilient cooperative control of vehicular platoon systems under DoS attacks,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 5, pp. 937–940, Apr. 2022. doi: 10.1109/JAS.2022.105578
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Y. Ju, D. Ding, X. He, Q.-L. Han, and G. Wei, “Consensus control of multi-agent systems using fault-estimation-in-the-loop: Dynamic event-triggered case,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 8, pp. 1440–1451, Aug. 2022. doi: 10.1109/JAS.2021.1004386
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R. Olfati-Saber and R. Murray, “Consensus problems in networks of agents with switching topology and time-delays,” IEEE Trans. Autom. Control, vol. 49, no. 9, pp. 1520–1533, Sept. 2004. doi: 10.1109/TAC.2004.834113
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Z. Li, Z. Duan, L. Xie, and X. Liu, “Distributed robust control of linear multi-agent systems with parameter uncertainties,” Int. J. Control, vol. 85, no. 8, pp. 1039–1050, Apr. 2011.
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B. Weng, J. Sun, G. Huang, F. Deng, G. Wang, and J. Chen, “Competitive meta-learning,” IEEE/CAA J. Autom Sinica, vol. 10, no. 9, pp. 1902–1904, Sept. 2023. doi: 10.1109/JAS.2023.123354
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J. C. Willems, I. Markovsky, P. Rapisarda, and B. L. M. D. Moor, “A note on persistency of excitation,” Syst. Control Lett., vol. 54, no. 4, pp. 325–329, Apr. 2005. doi: 10.1016/j.sysconle.2004.09.003
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C. De Persis and P. Tesi, “Formulas for data-driven control: Stabilization, optimality, robustness,” IEEE Trans. Autom. Control, vol. 65, no. 3, pp. 909–924, Dec. 2020. doi: 10.1109/TAC.2019.2959924
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W. Liu, J. Sun, G. Wang, F. Bullo, and J. Chen, “Data-driven resilient predictive control under denial-of-service,” IEEE Trans. Autom. Control, vol. 68, no. 8, pp. 4722–4737, Aug. 2023. doi: 10.1109/TAC.2022.3209399
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H. J. van Waarde, M. K. Camlibel, and M. Mesbahi, “From noisy data to feedback controllers: Nonconservative design via a matrix S-lemma,” IEEE Trans. Autom. Control, vol. 67, no. 1, pp. 162–175, Jan. 2022. doi: 10.1109/TAC.2020.3047577
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X. Wang, J. Sun, G. Wang, F. Allgöwer, and J. Chen, “Data-driven control of distributed event-triggered network systems,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 2, pp. 351–364, Feb. 2023. doi: 10.1109/JAS.2023.123225
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Y. Li, X. Wang, J. Sun, G. Wang, and J. Chen, “Data-driven consensus control of fully distributed event-triggered multi-agent systems,” Sci. CHINA Inf. Sci., vol. 66, no. 5, p. 152202, May 2023. doi: 10.1007/s11432-022-3629-1
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X. Wang, J. Sun, F. Deng, G. Wang, and J. Chen, “Event-triggered consensus control of heterogeneous multi-agent systems: Model-based and data-based approaches,” Sci. CHINA Inf. Sci., vol. 66, p. 192201, Aug. 2023.
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W.-L. Qi, K.-Z. Liu, R. Wang, and X.-M. Sun, “Data-driven L2-stability analysis for dynamic event-triggered networked control systems: A hybrid system approach,” IEEE Trans. Ind. Electron., vol. 70, no. 6, pp. 6151–6158, Jun. 2023. doi: 10.1109/TIE.2022.3194657
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M. Guo, C. De Persis, and P. Tesi, “Data-driven stabilization of nonlinear polynomial systems with noisy data,” IEEE Trans. Autom. Control, vol. 67, no. 8, pp. 4210–4217, Aug. 2022. doi: 10.1109/TAC.2021.3115436
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T. Dai and M. Sznaier, “Nonlinear data-driven control via state-dependent representations,” in Proc. IEEE Conf. Decis. Control, Austin, USA, 2021, pp. 5765–5770.
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