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To Sample or not to Sample: Self-Triggered Control for Nonlinear Systems

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Anta, Adolfo, Tabuada, Paulo·2010·IEEE Transactions on Automatic Control

Abstract

Feedback control laws have been traditionally implemented in a periodic fashion on digital hardware. Although periodicity simplifies the analysis of the mismatch between the control design and its digital implementation, it also leads to conservative usage of resources such as CPU utilization in the case of embedded control. We present a novel technique that abandons the periodicity assumption by using the current state of the plant to decide the next time instant in which the state should be measured, the control law computed, and the actuators updated. This technique, termed self-triggered control, is developed for two classes of nonlinear control systems, namely, state-dependent homogeneous systems and polynomial systems. The wide applicability of the proposed results is illustrated in two well known physical examples: a jet engine compressor and the rigid body.

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Metadata

Authors
Anta, A., & Tabuada, P.
Venue
IEEE Transactions on Automatic Control
Published
2010-09
Volume
55
Issue
9
Pages
2030-2042
ISSN
  • 0018-9286 (ISSN-L)
  • 1558-2523
OpenAlex
W2111990577
Cited by
870
References
0
FWCI
91.88
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: To Sample or not to Sample: Self-Triggered Control for Nonlinear Systems. https://app.cochat.ai/papers/10.1109/tac.2010.2042980
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Anta, A., & Tabuada, P. (2010). To Sample or not to Sample: Self-Triggered Control for Nonlinear Systems. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2010.2042980

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.