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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/933828

Title
Self-triggered model predictive control for network scheduling and control
Author/Creator
Henriksson, Erik;  Quevedo, Daniel E.;  Sandberg, Henrik;  Johansson, Karl Henrik
Description
Herein we present an algorithm for controlling LTI processes using an adaptive sampling interval where the controller at every sampling instant not only computes the new control command but also decides the time interval to the next sample. The approach relies on MPC where the cost function depends on the control performance as well as the cost for sampling. The paper presents a method for synthesizing such a predictive controller and gives explicit conditions for when it is stabilizing. Further it is shown that the optimization problem may be solved off-line and that the controller may be implemented as a lookup table of state feedback gains. The paper is concluded with a numerical example.
Relation
8th IFAC International Symposium on Advanced Control of Chemical Processes. Proceedings of the 8th IFAC International Symposium on Advanced Control of Chemical Processes (Singapore 10-13 July, 2012) p. 432-438
Publisher Link
http://dx.doi.org/10.3182/20120710-4-SG-2026.00132
Date
2012
Publisher
International Federation of Automatic Control (IFAC)
Keyword(s)
model-based control;  optimization and scheduling;  process applications
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/933828
Identifier
ISBN:9783902823052
Language
eng
Reviewed
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"Self-triggered model predictive control for network scheduling and control"
 
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