TY - GEN
T1 - Distributed Interval Type-2 Fuzzy Filtering for Wireless Sensor Networks with Intermittent Measurements
AU - Hu, Zhijian
AU - Su, Rong
AU - Wang, Yujia
AU - Xu, Zeyuan
AU - Wang, Bohui
AU - Lu, Yun
N1 - Publisher Copyright:
© 2023 American Automatic Control Council.
PY - 2023
Y1 - 2023
N2 - Though wireless sensor networks (WSNs) help to enhance data fusion accuracy, measurement exchanges between sensors are not always reliable due to inherent open communication channels. In this paper, a distributed interval type-2 (IT2) fuzzy filter is presented in the context of WSNs with intermittent measurements. Firstly, IT2 fuzzy models are employed to formulate one type of nonlinear systems with parameter uncertainties. Then, dual random data packet dropouts phenomena are considered, including the measurements transmitting from sensors to data fusion centers, and the measurements transmitting from data fusion centers to distributed filters. Bernoulli variables are adopted to depict the random data packet dropouts. Furthermore, to guarantee the robust mean-square asymptotic stability of the filtering error system, less conservative sufficient conditions are derived to seek for distributed filter gains. Finally, simulation results on Henon mapping systems with parameter uncertainties verify the robustness of the presented distributed fuzzy filter for WSNs with intermittent measurements.
AB - Though wireless sensor networks (WSNs) help to enhance data fusion accuracy, measurement exchanges between sensors are not always reliable due to inherent open communication channels. In this paper, a distributed interval type-2 (IT2) fuzzy filter is presented in the context of WSNs with intermittent measurements. Firstly, IT2 fuzzy models are employed to formulate one type of nonlinear systems with parameter uncertainties. Then, dual random data packet dropouts phenomena are considered, including the measurements transmitting from sensors to data fusion centers, and the measurements transmitting from data fusion centers to distributed filters. Bernoulli variables are adopted to depict the random data packet dropouts. Furthermore, to guarantee the robust mean-square asymptotic stability of the filtering error system, less conservative sufficient conditions are derived to seek for distributed filter gains. Finally, simulation results on Henon mapping systems with parameter uncertainties verify the robustness of the presented distributed fuzzy filter for WSNs with intermittent measurements.
UR - https://www.scopus.com/pages/publications/85167820155
U2 - 10.23919/ACC55779.2023.10156255
DO - 10.23919/ACC55779.2023.10156255
M3 - 会议稿件
AN - SCOPUS:85167820155
T3 - Proceedings of the American Control Conference
SP - 4877
EP - 4882
BT - 2023 American Control Conference, ACC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 American Control Conference, ACC 2023
Y2 - 31 May 2023 through 2 June 2023
ER -