References
- Altafini, C. (2013). Consensus problems on networks with antagonistic interactions. IEEE Transactions on Automatic Control, 58(4), 935–946. https://doi.org/https://doi.org/10.1109/TAC.2012.2224251
- Aounallah, T., Essounbouli, N., Hamzaoui, A., & Bouchafaa, F. (2018). Algorithm on fuzzy adaptive backstepping control of fractional order for doubly-fed induction generators. IET Renewable Power Generation, 12(8), 962–967. https://doi.org/https://doi.org/10.1049/rpg2.v12.8
- Bai, J., Wen, G., Rahmani, A., & Yu, Y. (2017). Distributed consensus tracking for the fractional-order multi-agent systems based on the sliding mode control method. Neurocomputing, 235, 210–216. https://doi.org/https://doi.org/10.1016/j.neucom.2016.12.066
- Cao, Y., Li, Y., Ren, W., & Chen, Y. (2009). Distributed coordination of networked fractional-order systems. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 40(2), 362–370. https://doi.org/https://doi.org/10.1109/TSMCB.2009.2024647
- Chen, C. P., Wen, G. X., Liu, Y. J., & Liu, Z. (2015). Observer-based adaptive backstepping consensus tracking control for high-order nonlinear semi-strict-feedback multiagent systems. IEEE Transactions on Cybernetics, 46(7), 1591–1601. https://doi.org/https://doi.org/10.1109/TCYB.2015.2452217
- Chen, W., Li, X., Ren, W., & Wen, C. (2013). Adaptive consensus of multi-agent systems with unknown identical control directions based on a novel Nussbaum-type function. IEEE Transactions on Automatic Control, 59(7), 1887–1892. https://doi.org/https://doi.org/10.1109/TAC.9
- Cui, G., Xu, S., Ma, Q., Li, Z., & Chu, Y. (2018). Command-filter-based distributed containment control of nonlinear multi-agent systems with actuator failures. International Journal of Control, 91(7), 1708–1719. https://doi.org/https://doi.org/10.1080/00207179.2017.1327722
- Gao, L., Deng, S., & Ren, W. (2018). Differentially private consensus with an event-triggered mechanism. IEEE Transactions on Control of Network Systems, 6(1), 60–71. https://doi.org/https://doi.org/10.1109/TCNS.2018.2795703
- Gong, P. (2017). Distributed tracking of heterogeneous nonlinear fractional-order multi-agent systems with an unknown leader. Journal of the Franklin Institute, 354(5), 2226–2244. https://doi.org/https://doi.org/10.1016/j.jfranklin.2017.01.001
- Gong, P., & Lan, W. (2018). Adaptive robust tracking control for uncertain nonlinear fractional-order multi-agent systems with directed topologies. Automatica, 92, 92–99. https://doi.org/https://doi.org/10.1016/j.automatica.2018.02.010
- Ji, H., Lewis, F. L., Hou, Z., & Mikulski, D. (2017). Distributed information-weighted Kalman consensus filter for sensor networks. Automatica, 77, 18–30. https://doi.org/https://doi.org/10.1016/j.automatica.2016.11.014
- Lewis, F., Jagannathan, S., & Yesildirak, A. (1998). Neural network control of robot manipulators and non-linear systems. CRC Press.
- Li, H. L., Cao, J., Jiang, H., & Alsaedi, A. (2018). Graph theory-based finite-time synchronization of fractional-order complex dynamical networks. Journal of the Franklin Institute, 355(13), 5771–5789. https://doi.org/https://doi.org/10.1016/j.jfranklin.2018.05.039
- Li, Y. X., Wang, Q. Y., & Tong, S. (2021). Fuzzy adaptive fault-tolerant control of fractional-order nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(3), 1372–1379. https://doi.org/https://doi.org/10.1109/TSMC.2019.2894663
- Liu, H., Pan, Y., Li, S., & Chen, Y. (2017). Adaptive fuzzy backstepping control of fractional-order nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(8), 2209–2217. https://doi.org/https://doi.org/10.1109/TSMC.2016.2640950
- Ma, T., Li, T., & Cui, B. (2018). Coordination of fractional-order nonlinear multi-agent systems via distributed impulsive control. International Journal of Systems Science, 49(1), 1–14. https://doi.org/https://doi.org/10.1080/00207721.2017.1397805
- Ma, Z., & Ma, H. (2019). Adaptive fuzzy backstepping dynamic surface control of strict-feedback fractional-order uncertain nonlinear systems. IEEE Transactions on Fuzzy Systems, 28(1), 122–133. https://doi.org/https://doi.org/10.1109/TFUZZ.91
- Meng, D. (2017). Bipartite containment tracking of signed networks. Automatica, 79, 282–289. https://doi.org/https://doi.org/10.1016/j.automatica.2017.01.044
- Monje, C. A., Chen, Y., Vinagre, B. M., Xue, D., & Feliu-Batlle, V. (2010). Fractional-order systems and controls: fundamentals and applications. Springer Science & Business Media.
- Ning, B., Q. L. Han, & Zuo, Z. (2019). Practical fixed-time consensus for integrator-type multi-agent systems: a time base generator approach. Automatica, 105, 406–414. https://doi.org/https://doi.org/10.1016/j.automatica.2019.04.013
- Ning, B., Han, Q. L., & Zuo, Z. (2021). Bipartite consensus tracking for second-order multiagent systems: a time-varying function-based preset-time approach. IEEE Transactions on Automatic Control, 66(6), 2739–2745. https://doi.org/https://doi.org/10.1109/TAC.2020.3008125
- Olfati-Saber, R., & R. M. Murray (2004). Consensus problems in networks of agents with switching topology and time-delays. IEEE Transactions on Automatic Control, 49(9), 1520–1533. https://doi.org/https://doi.org/10.1109/TAC.2004.834113
- Shahvali, M., & Askari, J. (2016). Cooperative adaptive neural partial tracking errors constrained control for nonlinear multi-agent systems. International Journal of Adaptive Control and Signal Processing, 30(7), 1019–1042. https://doi.org/https://doi.org/10.1002/acs.v30.7
- Shahvali, M., Azarbahram, A., Naghibi-Sistani, M. B., & Askari, J. (2020). Bipartite consensus control for fractional-order nonlinear multi-agent systems: an output constraint approach. Neurocomputing, 397, 212–223. https://doi.org/https://doi.org/10.1016/j.neucom.2020.02.036
- Shahvali, M., Naghibi-Sistani, M. B., & Askari, J. (2021a). Adaptive fault compensation control for nonlinear uncertain fractional-order systems: static and dynamic event generator approaches. Journal of the Franklin Institute, 358(12), 6074–6100. https://doi.org/https://doi.org/10.1016/j.jfranklin.2021.05.033
- Shahvali, M., Naghibi-Sistani, M. B., & Askari, J. (2021b). Dynamic event-triggered control for a class of nonlinear fractional-order systems. IEEE Transactions on Circuits and Systems II: Express Briefs. https://doi.org/https://doi.org/10.1109/TCSII.2021.3128561
- Shahvali, M., Naghibi-Sistani, M. B., & Modares, H. (2019). Distributed consensus control for a network of incommensurate fractional-order systems. IEEE Control Systems Letters, 3(2), 481–486. https://doi.org/https://doi.org/10.1109/LCSYS.7782633
- Shahvali, M., Pariz, N., & Akbariyan, M. (2018). Distributed finite-time control for arbitrary switched nonlinear multi-agent systems: an observer-based approach. Nonlinear Dynamics, 94(3), 2127–2142. https://doi.org/https://doi.org/10.1007/s11071-018-4479-4
- Shen, Q., & Shi, P. (2015). Distributed command filtered backstepping consensus tracking control of nonlinear multiple-agent systems in strict-feedback form. Automatica, 53, 120–124. https://doi.org/https://doi.org/10.1016/j.automatica.2014.12.046
- Shen, Q., Shi, P., & Shi, Y. (2015). Distributed adaptive fuzzy control for nonlinear multiagent systems via sliding mode observers. IEEE Transactions on Cybernetics, 46(12), 3086–3097. https://doi.org/https://doi.org/10.1109/TCYB.2015.2496963
- Shi, P., & Shen, Q. (2017). Observer-based leader-following consensus of uncertain nonlinear multi-agent systems. International Journal of Robust and Nonlinear Control, 27(17), 3794–3811. https://doi.org/https://doi.org/10.1002/rnc.v27.17
- Song, S., Zhang, B., Song, X., & Zhang, Z. (2021). Neuro-fuzzy-based adaptive dynamic surface control for fractional-order nonlinear strict-feedback systems with input constraint. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(6), 3575–3586. https://doi.org/https://doi.org/10.1109/TSMC.2019.2933359
- Wang, W., Huang, J., Wen, C., & Fan, H. (2014). Distributed adaptive control for consensus tracking with application to formation control of nonholonomic mobile robots. Automatica, 50(4), 1254–1263. https://doi.org/https://doi.org/10.1016/j.automatica.2014.02.028
- Wang, W., & Tong, S. (2019). Observer-based adaptive fuzzy containment control for multiple uncertain nonlinear systems. IEEE Transactions on Fuzzy Systems, 27(11), 2079–2089. https://doi.org/https://doi.org/10.1109/TFUZZ.91
- Wang, W., Wang, D., & Peng, Z. (2017). Fault-tolerant containment control of uncertain nonlinear systems in strict-feedback form. International Journal of Robust and Nonlinear Control, 27(3), 497–511. https://doi.org/https://doi.org/10.1002/rnc.v27.3
- Wang, Y., & Song, Y. (2016). Fraction dynamic-surface-based neuroadaptive finite-time containment control of multiagent systems in nonaffine pure-feedback form. IEEE Transactions on Neural Networks and Learning Systems, 28(3), 678–689. https://doi.org/https://doi.org/10.1109/TNNLS.2015.2511005
- Wang, Y., Song, Y., & Ren, W. (2017). Distributed adaptive finite-time approach for formation–containment control of networked nonlinear systems under directed topology. IEEE Transactions on Neural Networks and Learning Systems, 29(7), 3164–3175. https://doi.org/https://doi.org/10.1109/TNNLS.2017.2714187
- Wei, M., Li, Y. X., & Tong, S. (2020). Event-triggered adaptive neural control of fractional-order nonlinear systems with full-state constraints. Neurocomputing, 412, 320–326. https://doi.org/https://doi.org/10.1016/j.neucom.2020.06.082
- Wei, M., Li, Y. X., & Tong, S. (2021). Adaptive fault-tolerant control for a class of fractional order non-strict feedback nonlinear systems. International Journal of Systems Science, 52(5), 1014–1025. https://doi.org/https://doi.org/10.1080/00207721.2020.1852627
- Yang, H., & Ye, D. (2018). Adaptive fixed-time bipartite tracking consensus control for unknown nonlinear multi-agent systems: an information classification mechanism. Information Sciences, 459, 238–254. https://doi.org/https://doi.org/10.1016/j.ins.2018.04.016
- Yang, W., Yu, W., Lv, Y., Zhu, L., & Hayat, T. (2021). Adaptive fuzzy tracking control design for a class of uncertain nonstrict-feedback fractional-order nonlinear SISO systems. IEEE Transactions on Cybernetics, 51(6), 3039–3053. https://doi.org/https://doi.org/10.1109/TCYB.2019.2931401
- Yoo, S. J. (2013). Distributed adaptive containment control of uncertain nonlinear multi-agent systems in strict-feedback form. Automatica, 49(7), 2145–2153. https://doi.org/https://doi.org/10.1016/j.automatica.2013.03.007
- Yoo, S. J. (2018). Distributed consensus tracking of a class of asynchronously switched nonlinear multi-agent systems. Automatica, 87, 421–427. https://doi.org/https://doi.org/10.1016/j.automatica.2017.04.006
- Yu, T., Ma, L., & Zhang, H. (2018). Prescribed performance for bipartite tracking control of nonlinear multiagent systems with hysteresis input uncertainties. IEEE Transactions on Cybernetics, 49(4), 1327–1338. https://doi.org/https://doi.org/10.1109/TCYB.6221036
- Yu, W., Chen, G., & Cao, M. (2010). Some necessary and sufficient conditions for second-order consensus in multi-agent dynamical systems. Automatica, 46(6), 1089–1095. https://doi.org/https://doi.org/10.1016/j.automatica.2010.03.006
- Yuan, X., Mo, L., & Yu, Y. (2020). Distributed containment control of fractional-order multi-agent systems using neural networks. Asian Journal of Control. https://doi.org/https://doi.org/10.1002/asjc.2423
- Zhan, Y., Sui, S., & Tong, S. (2021). Adaptive fuzzy decentralised control for fractional-order interconnected nonlinear systems with input saturation. International Journal of Systems Science, 52(13), 2689–2703. https://doi.org/https://doi.org/10.1080/00207721.2021.1895359
- Zhang, Y., Li, H., Sun, J., & He, W. (2019). Cooperative adaptive event-triggered control for multiagent systems with actuator failures. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(9), 1759–1768. https://doi.org/https://doi.org/10.1109/TSMC.6221021
- Zhao, L., Jia, Y., & Yu, J. (2017). Adaptive finite-time bipartite consensus for second-order multi-agent systems with antagonistic interactions. Systems & Control Letters, 102, 22–31. https://doi.org/https://doi.org/10.1016/j.sysconle.2017.01.004
- Zhao, L., Yu, J., & Lin, C. (2018). Command filter based adaptive fuzzy bipartite output consensus tracking of nonlinear coopetition multi-agent systems with input saturation. ISA Transactions, 80, 187–194. https://doi.org/https://doi.org/10.1016/j.isatra.2018.07.039
- Zhao, L., Yu, J., Lin, C., & Ma, Y. (2017). Adaptive neural consensus tracking for nonlinear multiagent systems using finite-time command filtered backstepping. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(11), 2003–2012. https://doi.org/https://doi.org/10.1109/TSMC.2017.2743696
- Zheng, S., Shi, P., Wang, S., & Shi, Y. (2018). Event triggered adaptive fuzzy consensus for interconnected switched multiagent systems. IEEE Transactions on Fuzzy Systems, 27(1), 144–158. https://doi.org/https://doi.org/10.1109/TFUZZ.2018.2873968
- Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2018). Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities. Neural Networks, 105, 256–276. https://doi.org/https://doi.org/10.1016/j.neunet.2018.05.014