Periodic sampling: maximising the sampling period

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.

Keywords:

• Nonlinear systems
• periodic sampling
• optimal control
• maximal sampling period

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].