Paper Info
Title
Networked predictive control of constrained nonlinear systems: Recursive feasibility and Input-to-State Stability analysis
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 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. The contribution of the paper is twofold. First, the issue of guaranteeing the recursive feasibility of the optimization problem associated to the receding horizon control law has been addressed, such that the invariance of the feasible region under the networked closed-loop dynamics can be guaranteed. Secondly, the Input-to-Stability property of the networked closed-loop system with respect to bounded perturbations has been analyzed.
Year
DOI
Venue
2009
10.1109/ACC.2009.5160704
ACC'09 Proceedings of the 2009 conference on American Control Conference
Keywords
DocType
ISSN
closed loop systems,compensation,control engineering computing,control system analysis,delays,discrete time systems,invariance,nonlinear control systems,optimisation,predictive control,robust control,state feedback,time-varying systems,uncertain systems,input-to-state stability analysis,invariance,network delay compensation strategy,networked closed-loop dynamics,networked model predictive control system,optimization problem,packet dropout,packet-based communication network,receding horizon control law,recursive feasibility,robust state feedback stabilization,time-varying transmission delay,uncertain discrete-time constrained nonlinear system,Model Predictive Control,Networked Control Systems,Nonlinear Control
Conference
0743-1619 E-ISBN : 978-1-4244-4524-0
ISBN
Citations 
PageRank 
978-1-4244-4524-0
6
0.54
References 
Authors
33
2
Name
Order
Citations
PageRank
Gilberto Pin113617.21
T Parisini2935113.17