Abstract
This paper devotes itself to the containment tracking problem of general linear high-order multiagent systems (MASs) under time-varying communications. For general linear MASs with time-varying weightunbalanced digraph, the containment control problem is difficult and challenging, because the Lyapunov method is not an effective approach in this case. Under the assumption that the graph topology uniformly and jointly has a directed spanning forest, we show that when the exponentially unstable mode associated with each agent’s self-dynamics is weak enough, the followers can asymptotically tend to the dynamical convex hull spanned by the leaders, i.e. the containment can be achieved. Moreover, the least convergence rate is explicitly specified. Simulations are also provided to demonstrate the effectiveness of our result.
Similar content being viewed by others
References
M. Cao, A. S. Morse, and B. D. Anderson, “Reaching a consensus in a dynamically changing environment: Convergence rates, measurement delays, and asynchronous events,” SIAM Journal on Control and Optimization, vol. 47, no. 2, pp. 601–623, 2008.
W. Ni and D. Z. Cheng, “Leader-following consensus of multi-agent systems under fixed and switching topologies,” Systems & Control Letters, vol. 59, no. 3, pp. 209–217, 2010.
W. Ren and R.W. Beard, “Consensus seeking in multiagent systems under dynamically changing interaction topologies,” IEEE Transactions on Automatic Control, vol. 50, no. 5, pp. 655–661, 2005.
D. V. Dimarogonas, M. Egerstedt, and K. J. Kyriakopoulos, “A leader-based containment control strategy for multiple unicycles,” Proc. of 45th IEEE Conference on Decision and Control, pp. 5968–5973, 2006.
H. Y. Liu, G. M. Xie, and L. Wang, “Necessary and sufficient conditions for containment control of networked multi-agent systems,” Automatica, vol. 48, no. 7, pp. 1415–1422, 2012.
G. Notarstefano, M. Egerstedt, and M. Haque, “Containment in leader-follower networks with switching communication topologies,” Automatica, vol. 47, no. 5, pp. 1035–1040, 2011.
Y. C. Cao, W. Ren, and M. Egerstedt, “Distributed containment control with multiple stationary or dynamic leaders in fixed and switching directed networks,” Automatica, vol. 48, no. 8, pp. 1586–1597, 2012.
Y. C. Lou and Y. G. Hong, “Target containment control of multi-agent systems with random switching interconnection topologies,” Automatica, vol. 48, no. 5, pp. 879–885, 2012.
X. W. Mu, B. J. Zheng, and K. Liu, “L 2-Linfinity containment control of multi-agent systems with markovian switching topologies and non-uniform time-varying delays,” IET Control Theory & Applications, vol. 8, no. 10, pp. 863–72, 2014.
X. W. Mu, B. J. Zheng, and K. Liu, “Containment control of second-order discrete-time multi-agent systems with markovian missing data,” IET Control Theory & Applications, vol. 9, no. 8, pp. 1229–1237, 2015.
H. Y. Liu, G. M. Xie, and L. Wang, “Containment of linear multi-agent systems under general interaction topologies,” Systems & Control Letters, vol. 61, no. 4, pp. 528–534, 2012.
Z. K. Li, W. Ren, X. D. Liu, and M. Y. Fu, “Distributed containment control of multi-agent systems with general linear dynamics in the presence of multiple leaders,” International Journal of Robust and Nonlinear Control, vol. 23, no. 5, pp. 534–547, 2013.
Q. Ma and G. Y. Miao, “Distributed containment control of linear multi-agent systems,” Neurocomputing, vol. 133, no. 2014, pp. 399–403, 2014.
Z. K. Li, Z. S. Duan, W. Ren, and G. Feng, “Containment control of linear multi-agent systems with multiple leaders of bounded inputs using distributed continuous controllers,” International Journal of Robust and Nonlinear Control, vol. 25, no. 13, pp. 2101–2121, 2015.
H. Haghshenas, M. A. Badamchizadeh, and M. Baradarannia, “Containment control of heterogeneous linear multiagent systems,” Automatica, vol. 54, no. 2015, pp. 210–216, 2015.
X. W. Mu, Z. Yang, K. Liu and J. R. Mu, “Containment control of general multi-agent systems with directed random switching topology,” Journal of the Franklin Institute, vol. 352, no. 10, pp. 4067–4080, 2015.
J. H. Qin and C. B. Yu, “Exponential consensus of general linear multi-agent systems under directed dynamic topology,” Automatica, vol. 50, no. 9, pp. 2327–2333, 2014.
S. Yin, S. X. Ding, X. C. Xie, and H. Luo, “A review on basic data-driven approaches for industrial process monitoring,” IEEE Transactions on Industrial Electronics, vol. 61, no. 11, pp. 6418–6428, 2014.
S. Yin, X. W. Li, H. J. Gao, and O. Kaynak, “Data-based techniques focused on modern industry: An overview,” IEEE Transactions on Industrial Electronics, vol. 62, no. 1, pp. 657–667, 2015.
S. Yin and Z. H. Huang, “Performance monitoring for vehicle suspension system via fuzzy positivistic cmeans clustering based on accelerometer measurements,” IEEE/ASME Transactions on Mechatronics, vol. 20, no. 5, pp. 2613–2620, 2014.
S. Yin, X. P. Zhu, and O. Kaynak, “Improved pls focused on key-performance-indicator-related fault diagnosis,” IEEE Transactions on Industrial Electronics, vol. 62, no. 3, pp. 1651–1658, 2015.
S. Yin, G. Wang, and X. Yang, “Robust pls approach for kpi-related prediction and diagnosis against outliers and missing data,” International Journal of Systems Science, vol. 45, no. 7, pp. 1375–1382, 2014.
H. Y. Li, Y. B. Gao, L. G. Wu, and H. K. Lam, “Fault detection for t-s fuzzy time-delay systems: Delta operator and input-output methods,” IEEE Transactions on Cybernetics, vol. 45, no. 2, pp. 229–241, 2015.
H. Y. Li, H. J. Gao, P. Shi, and X. D. Zhao, “Fault-tolerant control of markovian jump stochastic systems via the augmented sliding mode observer approach,” Automatica, vol. 50, no. 7, pp. 1825–1834, 2014.
T. Wang, H. J. Gao, and J. B. Qiu, “A combined adaptive neural network and nonlinear model predictive control for multirate networked industrial process control,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 2, pp. 416–425, 2016.
Y. C. Cao, D. Stuart, W. Ren, and Z. Y. Meng, “Distributed containment control for multiple autonomous vehicles with double-integrator dynamics: Algorithms and experiments,” IEEE Transactions on Control Systems Technology, vol. 19, no. 4, pp. 929–938, 2011.
Z. Kan, J. R. Klotz, E. L. Pasiliao, and W. E. Dixon, “Containment control for a social network with state-dependent connectivity,” Automatica, vol. 56, no. 2015, pp. 86–92, 2015.
H. J. Gao, T. W. Chen, and J. Lam, “A new delay system approach to network-based control,” Automatica, vol. 44, no. 1, pp. 39–52, 2008.
T. Wang, Y. F. Zhang, J. B. Qiu, and H. J. Gao, “Adaptive fuzzy backstepping control for a class of nonlinear systems with sampled and delayed measurements,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 2, pp. 302–312, 2015.
T. Y. Chai, L. Zhao, J. B. Qiu, F. Z. Liu, and J. L. Fan, “Integrated network-based model predictive control for setpoints compensation in industrial processes,” IEEE Transactions on Industrial Informatics, vol. 9, no. 1, pp. 417–426, 2013.
H. Y. Li, Y. B. Gao, P. Shi and H. K. Lam, “Observer-based fault detection for nonlinear systems with sensor fault and limited communication capacity,” IEEE Transactions on Automatic Control, vol. 61, no. 9, pp. 2745–2751, 2015.
H. Y. Li, C. W. Wu, S. Yin and H. K. Lam, “Observerbased fuzzy control for nonlinear networked systems under unmeasurable premise variables,” IEEE Transactions on Fuzzy Systems, vol. 24, no. 5, pp. 1233–1245, 2015.
Author information
Authors and Affiliations
Corresponding author
Additional information
Recommended by Associate Editor Choon Ki Ahn under the direction of Editor PooGyeon Park. This work is supported by The National Natural Science Foundation of China under grants 11571322.
Zhe Yang received her B.S. and M.S. degrees from the Department of Mathematics of Zhengzhou University in 2010 and 2012, respectively. Now she is a PhD candidate of School of Mathematics and Statistics of Zhengzhou University. Her research interests include nonlinear control theory, switched systems and network control systems.
Xiao-wu Mu received his B.S. and Ph.D. degrees from the Department of Mathematics of Peking University, in 1983 and 1991, respectively. Now he is a Professor of Zhengzhou University. His research interests include stochastic systems, hybrid systems, nonlinear control, network control systems.
Kai Liu was born in Henan Province, China, in 1984. He received the B.S. degree in computing science from School of Mathematics, Shandong University, Jinan, China, in 2005, and his M.E. and Ph.D. degrees in theory of control from Zhengzhou University, Zhengzhou, China, in 2008 and 2015, respectively. Since 2008, he has been with College of Science, Henan Institution of Engineering, Zhengzhou, China, where he is currently a lecturer. His current research interests include quantized control, limited data rate, networked control, and multi-agent system.
Rights and permissions
About this article
Cite this article
Yang, Z., Mu, Xw. & Liu, K. Containment control of continuous-time multi-agent systems with general linear dynamics under time-varying communication topologies. Int. J. Control Autom. Syst. 15, 442–449 (2017). https://doi.org/10.1007/s12555-015-0205-x
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12555-015-0205-x