Abstract
In the previous chapter, approximation techniques were utilized to exploit the information contained in the event-triggering sets for event-based estimator design. As has been mentioned earlier, the motivation of undertaking these approximations arises from the non-Gaussianity issue caused by the event-triggered measurement information, and the consequence is that the results and properties are obtained in an approximate sense, with the approximation errors difficult to evaluate.
Original language | English |
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Title of host publication | Studies in Systems, Decision and Control |
Publisher | Springer International Publishing |
Pages | 77-108 |
Number of pages | 32 |
DOIs | |
Publication status | Published - 2016 |
Publication series
Name | Studies in Systems, Decision and Control |
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Volume | 41 |
ISSN (Print) | 2198-4182 |
ISSN (Electronic) | 2198-4190 |
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Shi, D., Shi, L., & Chen, T. (2016). A constrained optimization approach. In Studies in Systems, Decision and Control (pp. 77-108). (Studies in Systems, Decision and Control; Vol. 41). Springer International Publishing. https://doi.org/10.1007/978-3-319-26606-0_5