Abstract
The present paper is concerned with the robust state feedback stabilization of uncertain discrete-time constrained nonlinear systems in which the loop is closed through a packet-based communication network. In order to cope with model uncertainty, time-varying transmission delays and and packet dropouts which typically affect networked control systems, a robust control policy, which combines model predictive control with a network delay compensation strategy, is proposed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Antsaklis, P., Baillieul, J.: Guest editorial: Special issue on networked control systems. IEEE Transaction on Automatic Control 49 (2006)
Casavola, A., Mosca, F., Papini, M.: Predictive teleoperation of constrained dynamic system via internet-like channels. In: IEEE Trans Contr. Syst. Technol., pp. 681–694 (2006)
Imer, O., Yuksel, S., Basar, T.: Optimal control of lti systems over unreliable communication links. Automatica 42, 1429–1439 (2006)
Liu, G., Xia, Y., Che, J., Rees, D., Hu, W.: Networked predictive control of systems with random network delays in both forward and feedback channels. IEEE Transactions on Industrial Electronics 54, 1282–1297 (2007)
Tang, P., de Silva, C.: Compensation for transmission delays in an ethernet-based control network using variable horizon predictive control. IEEE Trans. on Control Systems Technology 14, 707–716 (2006)
Tang, P., de Silva, C.: Stability validation of a constrained model predictive control system with future input buffering. International Journal of Control 80, 1954–1970 (2007)
Quevedo, D., Silva, E.I., Goodwin, G.C.: Packetized predictive control over erasure channels. In: Proc. American Control Conference, pp. 1003–1008 (2007)
Bemporad, A.: Predictive control of teleoperated constrained systems with unbounded communication delays. In: Proc. IEEE Conf. on Decision and Control, pp. 2133–2138 (1998)
Polushin, I., Liu, P., Lung, C.: On the model-based approach to nonlinear networked control systems. In: Proc. American Control Conference (2007)
Limón, D., Alamo, T., Camacho, E.F.: Input-to-state stable MPC for constrained discrete-time nonlinear systems with bounded additive uncertainties. In: Proc. IEEE Conf. Decision Control, pp. 4619–4624 (2002)
Pin, G., Parisini, T., Magni, L., Raimondo, D.: Robust receding - horizon control of nonlinear systems with state dependent uncertainties: an input-to-state stability approach. In: Proc. American Control Conference (2008)
Blanchini, F.: Set invariance in control. Automatica 35(11), 1747–1767 (1999)
Kerrigan, E., Maciejowski, J.M.: Invariant sets for constrained nonlinear discrete-time systems with application to feasibility in model predictive control. In: Proc. IEEE Conf. Decision and Control (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Pin, G., Parisini, T. (2009). Stabilization of Networked Control Systems by Nonlinear Model Predictive Control: A Set Invariance Approach. In: Magni, L., Raimondo, D.M., Allgöwer, F. (eds) Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01094-1_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-01094-1_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01093-4
Online ISBN: 978-3-642-01094-1
eBook Packages: EngineeringEngineering (R0)