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Articles

Periodic sampling: maximising the sampling period

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Pages 1303-1316 | Received 16 Jan 2018, Accepted 20 Jul 2018, Published online: 03 Aug 2018
 

Abstract

The process of periodic sampling is investigated for a class of nonlinear systems. The objective is to achieve the longest sampling period that is compatible with a specified error bound. It is shown that there are robust optimal controllers that achieve this objective. It is also shown that the performance of such optimal controllers can be approximated by bang-bang controllers – controllers that are relatively easy to design and implement.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The work of Ho-Lim Choi was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) [No. NRF-2016R1A2B4008465].

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