Article
Full entry |
PDF
(0.8 MB)
Feedback
PDF
(0.8 MB)
Feedback
Keywords:
cooperative output regulation; switching graph; jointly connected graph; unbounded link failure duration; multi-agent systems; quantized control
cooperative output regulation; switching graph; jointly connected graph; unbounded link failure duration; multi-agent systems; quantized control
Summary:
This paper investigates the problem of quantized cooperative output regulation of linear multi-agent systems with switching graphs. A novel dynamic encoding-decoding scheme with a finite communication bandwidth is designed. Leveraging this scheme, a distributed protocol is proposed, ensuring asymptotic convergence of the tracking error under both bounded and unbounded link failure durations. Compared with the existing quantized control work of MASs, the semi-global assumption of initial conditions is not required, and the communication graph is only required to be jointly connected. Finally, two simulation examples demonstrate the effectiveness of the proposed distributed protocol for bounded and unbounded link failure durations.
References:
[1] Abdessameud, A., Tayebi, A.: Distributed output regulation of heterogeneous linear multi-agent systems with communication constraints. Automatica 91 (2018), 152-158. DOI | MR 3777600
[2] Back, J., Kim, J.: Output feedback practical coordinated tracking of uncertain heterogeneous multi-agent systems under switching network topology. IEEE Trans. Autom. Control 62 (2017), 6399-6406. DOI | MR 3743519
[3] Ceragioli, F., Persis, C. D., Frasca, P.: Discontinuities and hysteresis in quantized average consensus. Automatica 47 (2011), 1916-1928. DOI | MR 2886803
[4] Chen, Chi-Tsong: Linear System Theory and Design. Oxford University Press, Inc., 1995.
[5] Dimarogonas, D., Johansson, K.: Stability analysis for multi-agent systems using the incidence matrix: quantized communication and formation control. Automatica 46 (2010), 695-700. DOI | MR 2877129
[6] Dong, S., Liu, L., Feng, G., Liu, M., Wu, Z.: Quantized fuzzy cooperative output regulation for heterogeneous nonlinear multiagent systems with directed fixed/switching topologies. IEEE T. Cybernetics 52 (2022), 12393-12402. DOI
[7] Dong, X., Yan, Z., Zhang, R., Zhong, Y.: Time-varying formation tracking for second-order multi-agent systems subjected to switching topologies with application to quadrotor formation flying. IEEE T. Ind. Electron. 64 (2017), 5014-5024. DOI
[8] Hong, Y., Wang, X., Jiang, Z.: Distributed output regulation of leader-follower multi-agent systems. Int. J. Robust. Nonlinear Control 23 (2013), 48-66. DOI | MR 3008001 | Zbl 1263.93007
[9] Huang, J.: Nonlinear output regulation: Theory and application. Soc. Ind. Appl. Math. (2004). DOI | MR 2308004
[10] Huang, X., Dong, J.: Reliable leader-to-follower formation control of multiagent systems under communication quantization and attacks. IEEE T. Syst. Man CY-S 50 (2020), 89-99. DOI
[11] Lavaei, J., Murray, R. M: Quantized consensus by means of gossip algorithm. IEEE Trans. Automat. Control 57 (2012), 19-32. DOI | MR 2917645
[12] Li, T., Fu, M., Xie, L., Zhang, J.: Distributed consensus with limited communication data rate. IEEE Trans. Autom. Control 56 (2011), 279-292. DOI | MR 2761096
[13] Li, H., Liu, S., Soh, Y. C., Xie, L.: Event-triggered communication and data rate constraint for distributed optimization of multiagent systems. IEEE Trans. Syst. Man Cybern. Syst. 48 (2018), 1908-1919. DOI
[14] Li, D., Liu, Q., Wang, X., Yin, Z.: Quantized consensus over directed networks with switching topologies. Syst. Control Lett. 65 (2014), 13-22. DOI | MR 3168025
[15] Liu, W., Huang, J.: Cooperative global robust output regulation for a class of nonlinear multi-agent systems with switching network. IEEE Trans. Autom. Control 60 (2015), 1963-1968. DOI | MR 3365087
[16] Liu, S., Li, T., Xie, L., Fu, M., Zhang, J.: Continuous-time and sampleddata-based average consensus with logarithmic quantizers. Automatica 49 (2013), 3329-3336. DOI | MR 3115802
[17] Lu, M., Liu, L.: Distributed feedforward approach to cooperative output regulation subject to communication delays and switching networks. IEEE Trans. Autom. Control 62 (2017), 1999-2005. DOI | MR 3636353
[18] Ma, J., Yu, X., Liu, L., Ji, H., Feng, G.: Global cooperative output regulation of linear multiagent systems with limited bandwidth. IEEE Trans. Control Netw. Syst. 9 (2022), 1017-1028. DOI | MR 4483642
[19] Meng, Y., Li, T., Zhang, J.: Coordination over multi-agent networks with unmeasurable states and finite-level quantization. IEEE Trans. Automat. Control 62 (2017), 4647-4653. DOI | MR 3691885
[20] Meng, Z., Yang, T., Dimarogonas, D., Johansson, K.: Coordinated output regulation of heterogeneous linear systems under switching topologies. Automatica 53 (2015), 362-368. DOI | MR 3318610
[21] Su, Y., Huang, J.: Cooperative output regulation of linear multi-agent systems by output feedback. Syst. Control Lett. 61 (2012), 1248-1253. DOI | MR 2998211
[22] Su, Y., Huang, J.: Cooperative output regulation with application to multiagent consensus under switching network. IEEE T. Syst. Man CY-S, part B, Cybernetics 42 (2012), 864–875. DOI
[23] Tatikonda, S., Mitter, S., Sanjoy: Control over noisy channels. IEEE Trans. Autom. Control 49 (2004), 1196-1201. DOI | MR 2071953
[24] Wang, X.: Distributed formation output regulation of switching heterogeneous multi-agent systems. Int. J. Syst. Sci. 44 (2013), 2004-2014. DOI | MR 3172758
[25] Wang, X., Ni, W., Ma, Z.: Distributed event-triggered output regulation of multi-agent systems. Int. J. Control 88 (2015), 640-652. DOI | MR 3303730
[26] Xu, D., Wang, X., Su, Y., Wang, D.: Formation control in dynamic positioning of multiple offshore vessels via cooperative robust output regulation. In: 2017 56th IEEE Conf. Decis. Control (CDC), Melbourne, IEEE (2017), pp. 4070-4075. DOI | MR 2991717
[27] Yi, P., Hong, Y.: Quantized subgradient algorithm and data-rate analysis for distributed optimization. IEEE Trans. Control Netw. Syst. 1 (2014), 380-392. DOI | MR 3303147
[28] You, K., Xie, L.: Network topology and communication data rate for consensusability of discrete-time multi-agent systems. IEEE Trans. Autom. Control 56 (2011), 2262-2275. DOI | MR 2884153
[29] Zhang, Q., Zhang, J.: Quantized data-based distributed consensus under directed time-varying communication topology. SIAM J. Control Optim. 51 (2013), 332-352. DOI | MR 3032878
[30] Zheng, M., Liu, C., Liu, F.: Average-consensus tracking of sensor network via distributed coordination control of heterogeneous multi-agent systems. IEEE Control Syst. Lett. 3 (2019), 132-137. DOI | MR 4208733
Search
Partner of
