References
- Bai, J., Wen, G., Rahmani, A., Chu, X., & Yu, Y. (2016). Consensus with a reference state for fractional-order multi-agent systems. International Journal of Systems Science, 47(1), 222–234. https://doi.org/10.1080/00207721.2015.1056273
- Bhrawy, A., Doha, E. H., Baleanu, D., & Ezz-Eldien, S. S. (2015). A spectral tau algorithm based on Jacobi operational matrix for numerical solution of time fractional diffusion-wave equations. Journal of Computational Physics, 293, 142–156. https://doi.org/10.1016/j.jcp.2014.03.039
- Chen, J., Zeng, Z., & Jiang, P. (2014). Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks. Neural Networks, 51, 1–8. https://doi.org/10.1016/j.neunet.2013.11.016
- Di Paola, M., Fiore, V., Pinnola, F. P., & Valenza, A. (2014). On the influence of the initial ramp for a correct definition of the parameters of fractional viscoelastic materials. Mechanics of Materials, 69(1), 63–70. https://doi.org/10.1016/j.mechmat.2013.09.017
- Do, K. D. (2008). Formation tracking control of unicycle-type mobile robots with limited sensing ranges. IEEE Transactions on Control Systems Technology, 16(3), 527–538. https://doi.org/10.1109/TCST.2007.908214
- Dong, Y. (2018). Rendezvous with connectivity preservation for multi-robot systems with an unknown leader. International Journal of Control, 91(2), 470–479. https://doi.org/10.1080/00207179.2017.1285055
- Dong, X., Ding, C., Shi, C., Chen, Y., & Liu, Z. (2018). Leaderless output consensus of multi-agent systems with distinct relative degrees under switching directed topologies. IET Control Theory & Applications, 13(3), 313–320. https://doi.org/10.1049/iet-cta.2018.5140.
- Dong, X., Han, L., Li, Q., & Ren, Z. (2016). Time-varying formation control for double-integrator multi-agent systems with jointly connected topologies. International Journal of Systems Science, 47(16), 3829–3838. https://doi.org/10.1080/00207721.2015.1128578
- Dong, Y., Su, Y., Liu, Y., & Xu, S. (2018). An internal model approach for multi-agent rendezvous and connectivity preservation with nonlinear dynamics. Automatica, 89, 300–307. https://doi.org/10.1016/j.automatica.2017.12.018
- Ge, X., Han, Q.-L., & Zhang, X.-M. (2018). Achieving cluster formation of multi-agent systems under aperiodic sampling and communication delays. IEEE Transactions on Industrial Electronics, 65(4), 3417–3426. https://doi.org/10.1109/TIE.2017.2752148
- Guan, Z.-H., Hu, B., Chi, M., He, D.-X., & Cheng, X.-M. (2014). Guaranteed performance consensus in second-order multi-agent systems with hybrid impulsive control. Automatica, 50(9), 2415–2418. https://doi.org/10.1016/j.automatica.2014.07.008
- Hu, A., & Cao, J. (2017). Consensus of multi-agent systems via intermittent event-triggered control. International Journal of Systems Science, 48(2), 280–287. https://doi.org/10.1080/00207721.2016.1179817
- Hu, Y., Zhan, J., & Li, X. (2018). Self-triggered distributed model predictive control for flocking of multi-agent systems. IET Control Theory & Applications, 12(18), 2441–2448. https://doi.org/10.1049/iet-cta.2018.5514.
- Huang, D., Jiang, H., Yu, Z., Kang, C., & Hu, C. (2018). Leader-following cluster consensus in multi-agent systems with Intermittence. International Journal of Control, Automation & Systems, 16(2), 437–451. https://doi.org/10.1007/s12555-017-0345-2
- Li, Y., Chen, Y., & Podlubny, I. (2009). Mittag–Leffler stability of fractional order nonlinear dynamic systems. Automatica, 45(8), 1965–1969. https://doi.org/10.1016/j.automatica.2009.04.003
- Lin, P., & Jia, Y. (2008). Average consensus in networks of multi-agents with both switching topology and coupling time-delay. Physica A: Statistical Mechanics & its Applications, 387(1), 303–313. https://doi.org/10.1016/j.physa.2007.08.040
- Lin, P., & Jia, Y. (2010). Consensus of a class of second-order multi-agent systems with time-delay and jointly-connected topologies. IEEE Transactions on Automatic Control, 55(3), 778–784. https://doi.org/10.1109/TAC.2010.2040500
- Liu, H., Cheng, L., Tan, M., & Hou, Z.-G. (2018). Exponential finite-time consensus of fractional-order multiagent systems. IEEE Transactions on Systems, Man,Cybernetics: Systems, 50(4), 1549–1558. https://doi.org/10.1109/TSMC.2018.2816060.
- Liu, X., Zhang, K., & Xie, W.-C. (2018). Consensus of multi-agent systems via hybrid impulsive protocols with time-delay. Nonlinear Analysis: Hybrid Systems, 30, 134–146. https://doi.org/10.1016/j.nahs.2018.05.005
- Ma, L., Wang, Z., Han, Q.-L., & Liu, Y. (2017). Consensus control of stochastic multi-agent systems: A survey. Science China Information Sciences, 60(12), 120201. https://doi.org/10.1007/s11432-017-9169-4
- Olfati-Saber, R., & Murray, R. M. (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/10.1109/TAC.2004.834113
- Rehan, M., Jameel, A., & Ahn, C. K. (2018). Distributed consensus control of one-sided Lipschitz nonlinear multiagent systems. IEEE Transactions on Systems, Man,Cybernetics: Systems, 48(8), 1297–1308. https://doi.org/10.1109/TSMC.2017.2667701
- Ren, G., Yu, Y., Xu, C., & Hai, X. (2018). Consensus of fractional multi-agent systems by distributed event-triggered strategy. Nonlinear Dynamics, 95(1), 541–555. https://doi.org/10.1007/s11071-018-4580-8.
- Toledo-Hernandez, R., Rico-Ramirez, V., Iglesias-Silva, G. A., & Diwekar, U. M. (2014). A fractional calculus approach to the dynamic optimization of biological reactive systems. Part I: Fractional models for biological reactions. Chemical Engineering Science, 117, 217–228. https://doi.org/10.1016/j.ces.2014.06.034
- Wang, Y., Ma, Z., & Chen, G. (2018). Avoiding congestion in cluster consensus of the second-order nonlinear multiagent systems. IEEE Transactions on Neural Networks & Learning Systems, 29(8), 3490–3498. https://doi.org/10.1109/TNNLS.2017.2726354
- Wang, L., Wang, Z., Wei, G., & Alsaadi, F. E. (2018). Observer-based consensus control for discrete-time multiagent systems with coding–decoding communication protocol. IEEE Transactions on Cybernetics, 49(12), 4335–4345. https://doi.org/10.1109/TCYB.2018.2863664
- Wang, F., & Yang, Y. (2017). Leader-following exponential consensus of fractional order nonlinear multi-agents system with hybrid time-varying delay: A heterogeneous impulsive method. Physica A: Statistical Mechanics & its Applications, 482, 158–172. https://doi.org/10.1016/j.physa.2017.04.049
- Xu, B., & He, W. (2018). Event-triggered cluster consensus of leader-following linear multi-agent systems. Journal of Artificial Intelligence & Soft Computing Research, 8(4), 293–302. https://doi.org/10.1515/jaiscr-2018-0019
- Yaghoubi, Z. (2020). Robust cluster consensus of general fractional-order nonlinear multi agent systems via adaptive sliding mode controller. Mathematics and Computers in Simulation, 172, 15–32. https://doi.org/10.1016/j.matcom.2020.01.002.
- Yaghoubi, Z., & Talebi, H. A. (2019a). Cluster consensus of general fractional-order nonlinear multi agent systems via adaptive sliding mode controller. Archives of Control Sciences, 29(4), 643–665. https://doi.org/10.24425/acs.2019.131230.
- Yaghoubi, Z., & Talebi, H. A. (2019b). Consensus tracking for nonlinear fractional-order multi-agent systems using adaptive sliding mode controller. Mechatronic Systems and Control (Formerly Control and Intelligent Systems), 47(4), 194–200. https://doi.org/10.2316/J.2019.201-0039
- Yang, X., Li, C., Huang, T., & Song, Q. (2017). Mittag–Leffler stability analysis of nonlinear fractional-order systems with impulses. Applied Mathematics and Computation, 293, 416–422. https://doi.org/10.1016/j.amc.2016.08.039
- Yang, Z., Zhang, Q., Jiang, Z., & Chen, Z. (2012). Flocking of multi-agents with time delay. International Journal of Systems Science, 43(11), 2125–2134. https://doi.org/10.1080/00207721.2011.564675
- 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/10.1016/j.automatica.2010.03.006
- Yu, Z., Jiang, H., Hu, C., & Yu, J. (2017). Necessary and sufficient conditions for consensus of fractional-order multiagent systems via sampled-data control. IEEE Trans. Cybern, 47(8), 1892–1901. https://doi.org/10.1109/TCYB.2017.2681718
- Yu, J., & Wang, L. (2010). Group consensus in multi-agent systems with switching topologies and communication delays. Systems & Control Letters, 59(6), 340–348. https://doi.org/10.1016/j.sysconle.2010.03.009
- Yuan, Y., Wang, Z., Zhang, P., & Dong, H. (2018). Nonfragile near-optimal control of stochastic time-varying multiagent systems with control-and state-dependent noises. IEEE Transactions on Cybernetics, 49(7), 2605–2617. https://doi.org/10.1109/TCYB.2018.2829713
- Zhang, D., Song, Q., Liu, Y., & Cao, J. (2018). Pinning consensus analysis for nonlinear second-order multi-agent systems with time-varying delays. Asian Journal of Control, 20(6), 2343–2350. https://doi.org/10.1002/asjc.1731.
- Zhang, W., Tang, Y., Huang, T., & Kurths, J. (2017). Sampled-data consensus of linear multi-agent systems with packet losses. IEEE Transactions on Neural Networks & Learning Systems, 28(11), 2516–2527. https://doi.org/10.1109/TNNLS.2016.2598243
- Zhu, W., & Cheng, D. (2010). Leader-following consensus of second-order agents with multiple time-varying delays. Automatica, 46(12), 1994–1999. https://doi.org/10.1016/j.automatica.2010.08.003