References
- Cai, K., & Ishii, H. (2012). Average consensus on general strongly connected digraphs. Automatica, 48(11), 2750–2761. https://doi.org/https://doi.org/10.1016/j.automatica.2012.08.003
- Cai, K., & Ishii, H. (2014). Average consensus on arbitrary strongly connected digraphs with time-varying topologies. IEEE Transactions on Automatic Control, 59(4), 1066–1071. https://doi.org/https://doi.org/10.1109/TAC.2014.2305952
- Chen, F., Cao, Y., & Ren, W. (2012). Distributed average tracking of multiple time-varying reference signals with bounded derivatives. IEEE Transactions on Automatic Control, 57(12), 3169–3174. https://doi.org/https://doi.org/10.1109/TAC.2012.2199176
- Chen, F., Ren, W., Lan, W., & Chen, G. (2015). Distributed average tracking for reference signals with bounded accelerations. IEEE Transactions on Automatic Control, 60(3), 863–869. https://doi.org/https://doi.org/10.1109/TAC.2014.2337451
- Desoer, C. A., & Wang, Y. T. (1980). On the generalized Nyquist stability criterion. IEEE Transactions on Automatic Control, 25(2), 187–196. https://doi.org/https://doi.org/10.1109/TAC.1980.1102280
- Freeman, R. A., Yang, P., & Lynch, K. M. (2006). Stability and convergence properties of dynamic average consensus estimators. In 45th IEEE Conference on Decision and Control (pp. 338–343). IEEE, San Diego, CA, USA.
- George, J., Freeman, R. A., & Lynch, K. M. (2017). Robust dynamic average consensus algorithm for signals with bounded derivative. In 2017 American Control Conference (pp. 352–357). IEEE, Seattle, WA, USA.
- Ghapani, S., Ren, W., Chen, F., & Song, Y. (2017). Distributed average tracking for double-integrator multi-agent systems with reduced requirement on velocity measurements. Automatica, 81, 1–7. https://doi.org/https://doi.org/10.1016/j.automatica.2017.02.043
- Hadjicostis, C. N., & Charalambous, T. (2014). Average consensus in the presence of delays in directed graph topologies. IEEE Transactions on Automatic Control, 59(3), 763–768. https://doi.org/https://doi.org/10.1109/TAC.2013.2275669
- Jadbabaie, A., Lin, J., & Morse, A. S. (2003). Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE Transactions on Automatic Control, 48(6), 988–1001. https://doi.org/https://doi.org/10.1109/TAC.2003.812781
- Kia, S. S., Van Scoy, B., Cortes, J., Freeman, R. A., Lynch, K. M., & Martinez, S. (2010). Tutorial on dynamic average consensus: The problem, its applications, and the algorithms. IEEE Control Systems Magazine, 39(3), 40–72. https://doi.org/https://doi.org/10.1109/MCS.5488303
- Lestas, I., & Vinnicombe, G. (2005). Scalable robustness for consensus protocols with heterogeneous dynamics. In Proceedings of IFAC World Congress (pp. 185–190). IFAC, Prague, Czech Republic.
- Li, S., & Guo, Y. (2015). Distributed consensus filter on directed switching graphs. International Journal of Robust Nonlinear Control, 25(13), 2019–2040. https://doi.org/https://doi.org/10.1002/rnc.v25.13
- Lin, Z. Y., Francis, B., & Maggiore, M. (2005). Necessary and sufficient graphical conditions for formation control of unicycles. IEEE Transactions on Automatic Control, 50(1), 121–127. https://doi.org/https://doi.org/10.1109/TAC.2004.841121
- Liu, S., Li, T., Xie, L., Fu, M., & Zhang, J. F. (2013). Continuous-time and sampled-data-based average consensus with logarithmic quantizers. Automatica, 49(11), 3329–3336. https://doi.org/https://doi.org/10.1016/j.automatica.2013.07.016
- Liu, C. L., & Liu, F. (2017). Consensus problem of delayed linear multi-agent systems: Analysis and design (pp. 32–42). Springer.
- Liu, C. L., Shan, L., Chen, Y. Y., & Zhang, Y. (2018). Average-consensus filter of first-order multi-agent systems with disturbances. IEEE Transactions on Circuits and Systems II: Express Briefs, 65(11), 1763–1767. https://doi.org/https://doi.org/10.1109/TCSII.2017.2762723
- Liu, C. L., & Tian, Y. P. (2008). Eliminating oscillations in the internet by time-delayed feedback control. Chaos, Solitons & Fractals, 35(5), 878–887. https://doi.org/https://doi.org/10.1016/j.chaos.2006.05.080
- Olfati-Saber, R., & Murray, R. (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
- Pyragas, K. (1992). Continuous control of chaos by self-controlling feedback. Physics Letters A, 170(6), 421–428. https://doi.org/https://doi.org/10.1016/0375-9601(92)90745-8
- Ren, W., & Beard, R. W. (2005). Consensus seeking in multiagent systems under dynamically changing interaction topologies. IEEE Transactions on Automatic Control, 50(5), 655–661. https://doi.org/https://doi.org/10.1109/TAC.2005.846556
- Rezaee, H., & Abdollahi, F. (2015). Average consensus over high-order multiagent systems. IEEE Transactions on Automatic Control, 60(11), 3047–3052. https://doi.org/https://doi.org/10.1109/TAC.2015.2408576
- Shan, L., & Liu, C. L. (2018). Average-consensus tracking of multi-agent systems with additional interconnecting agents. Journal of the Franklin Institute, 355(17), 8957–8970. https://doi.org/https://doi.org/10.1016/j.jfranklin.2018.10.007
- Shao, J., & Tian, Y. P. (2018). Multi-target localisation and circumnavigation by a multi-agent system with bearing measurements in 2D space. International Journal of Systems Science, 49(1), 15–26. https://doi.org/https://doi.org/10.1080/00207721.2017.1397803
- Tian, Y. P., & Liu, C. L. (2009). Robust consensus of multi-agent systems with diverse input delays and asymmetric interconnection perturbations. Automatica, 45(5), 1347–1353. https://doi.org/https://doi.org/10.1016/j.automatica.2009.01.009
- Yang, P., Freeman, R. A., & Lynch, K. M. (2008). Multi-agent coordination by decentralized estimation and control. IEEE Transactions on Automatic Control, 53(11), 2480–2496. https://doi.org/https://doi.org/10.1109/TAC.2008.2006925
- Yu, W., Chen, G., Cao, M., & Ren, W. (2013). Delay-induced consensus and quasi-consensus in multi-agent dynamical systems. IEEE Transactions Circuits and Systems I: Regular Papers, 60(10), 2679–2687. https://doi.org/https://doi.org/10.1109/TCSI.2013.2244357