NDLI: Networked predictive control of constrained nonlinear systems: Recursive feasibility and Input-to-State Stability analysis

Content Provider	IEEE Xplore Digital Library
Author	Pin, G. Parisini, T.
Copyright Year	2009
Description	Author affiliation: Dept. of Electrical, Electronic and Computer Engineering, DEEI, University of Trieste, Italy (Pin, G.; Parisini, T.)
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.
Starting Page	2327
Ending Page	2334
File Size	1979039
Page Count	8
File Format	PDF
ISBN	9781424445233
ISSN	07431619
DOI	10.1109/ACC.2009.5160704
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Predictive control Nonlinear systems Stability analysis Predictive models Robustness State feedback Communication networks Uncertainty Time varying systems Networked control systems Model Predictive Control Networked Control Systems Nonlinear Control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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