DocumentCode
2817859
Title
A model predictive control approach to networked systems
Author
Zhang, Guofeng ; Chen, Xiang ; Chen, Tongwen
Author_Institution
Electron. Sci. & Technol. Univ. of China, Chengdu
fYear
2007
fDate
12-14 Dec. 2007
Firstpage
3339
Lastpage
3344
Abstract
This paper addresses the problem of controller design for networked control systems regulated by a network data transmission scheme proposed in G. Zhang and T. Chen (2005). The plant under the transmission constraint is first formulated as a mixed logical dynamical system, then model predictive control (MPC) based on the mixed-integer programming is applied to derive the controller. It is shown that the non-convexity feature of this class of networked control systems rules out piecewise affine controllers that are designable for linear convex problems. Nevertheless, controller design is still feasible due to the special nature of the data transmission strategy, i.e., only a small number of logic values is involved. An example is given to illustrate the strength of the proposed approach.
Keywords
control system synthesis; convex programming; integer programming; nonlinear dynamical systems; piecewise linear techniques; predictive control; controller design; linear convex problems; mixed logical dynamical system; mixed-integer programming; model predictive control approach; networked control systems; piecewise affine controllers; Actuators; Communication system control; Control systems; Data communication; Delay effects; Dynamic programming; Logic programming; Networked control systems; Predictive control; Predictive models; hybrid systems; mixed logical dynamical systems; model predictive control; networked control systems; non-convex mixed-integer programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2007 46th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
978-1-4244-1497-0
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2007.4434214
Filename
4434214
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