Event-triggered synchronization adaptive learning control of nonlinear multi-agent systems with resilience to communication link faults
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09215-3.pdf
Reference34 articles.
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2. Mahela OP et al (2022) Comprehensive overview of multi-agent systems for controlling smart grids. CSEE J Power Energy Syst 8(1):115–131. https://doi.org/10.17775/CSEEJPES.2020.03390
3. Fax JA, Murray RM (2004) Information flow and cooperative control of vehicle formations. IEEE Trans Autom Control 49(9):1465–1476. https://doi.org/10.1109/TAC.2004.834433
4. Chen B, Liu X, Liu K, Lin C (2009) Direct adaptive fuzzy control of nonlinear strict-feedback systems. Automatica 45(6):1530–1535. https://doi.org/10.1016/j.automatica.2009.02.025
5. Chen C, Wen C, Liu Z, Xie K, Zhang Y, Chen CLP (2017) Adaptive consensus of nonlinear multi-agent systems with non-identical partially unknown control directions and bounded modelling errors. IEEE Trans Autom Control 62(9):4654–4659. https://doi.org/10.1109/TAC.2016.2628204
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