An Overview of Filtering for Sampled-Data Systems under Communication Constraints

Abstract

Survey/Review Study An Overview of Filtering for Sampled-Data Systems under Communication Constraints Ye Wang 1,2, Hong-Jian Liu 1,2, and Hai-Long Tan 1,2 1 School of Mathematics-Physics and Finance, Anhui Polytechnic University, Wuhu 241000, China 2 Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Wuhu 241000, China   Received: 5 May 2023 Accepted: 21 July 2023 Published: 26 September 2023   Abstract: The sampled-data systems have been extensively applied to practical engineering because the digital signal shows great advantages in data transmission, storage and exchange. As a result, the analysis and synthesis problems of sampled-data systems have attracted ever-growing research interest due mainly to their significant application potential. On the other hand, the filtering or state estimation (which intends to reconstruct real system states from noisy measurements) is viewed as one of the most fundamental research topics in the control community. Until now, a lot of research efforts have been devoted to the filtering problem of sampled-data systems. The objective of the survey is to exhibit a systematic review with respect to filtering and control methods for sampled-data systems under communication constraints. First, some effective filtering algorithms are given. Then, the recent advances are shown in the filtering and control of sampled-data systems subject to network-induced phenomena based on the sampling methods. Finally, some future research topics are given on state estimation of sampled-data systems.