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Event-based reduced-attention predictive control for nonlinear uncertain systems
Publikationstyp
Conference Paper
Date Issued
2010
Sprache
English
Author(s)
Start Page
1085
End Page
1090
Article Number
5612775
Citation
2010 IEEE International Symposium on Computer-Aided Control System Design (CACSD 2010)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
IEEE
ISBN
978-1-4244-5354-2
978-1-4244-5355-9
Event-based control is an alternative to traditional control where new measurements are sampled only if critical events occur. This not only allows to reduce the control effort but it satisfies nowadays application requirements, such for example reduction of information exchange, computational power, or energy consumption. The work in this field is, however, still sparse and only a few results are available. Properly choosing an event-detection logic can considerably improve the overall system's performance. We propose a control algorithm which makes use of a model-based triggering strategy to reduce the control effort (reduced-attention control), while guaranteeing robustness against bounded additive perturbations for nonlinear continuous time systems. In particular, we derive conditions which guarantee that asymptotic stability of the nominal system implies practical stability of the real one in a neighborhood of the origin. A continuous stirred tank reactor is used as a benchmark problem to show the effectiveness of the presented algorithm.
Subjects
Additive disturbances
Event-based control
Model predictive control
Nonlinear systems
Reduced-attention control
Robustness
DDC Class
004: Computer Sciences
621: Applied Physics