TY - GEN
T1 - Distributed Identification of Large-Scale MISO Output-Error Systems
AU - He, Chengyang
AU - Yu, Chengpu
AU - Wang, Ping
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - This paper presents a distributed identification algorithm for large-scale MISO output-error systems. The considered MISO system is decomposed into multiple SISO output-error systems with their outputs being summed up to the measurable system output, and each SISO subsystem performs recursive identification by exchanging parameter estimates with other subsystems. Using the Lyapunov theory, it is proven that the proposed distributed identification algorithm converges asymptotically. Finally, a simulation example is given to demonstrate the effectiveness of the proposed algorithm.
AB - This paper presents a distributed identification algorithm for large-scale MISO output-error systems. The considered MISO system is decomposed into multiple SISO output-error systems with their outputs being summed up to the measurable system output, and each SISO subsystem performs recursive identification by exchanging parameter estimates with other subsystems. Using the Lyapunov theory, it is proven that the proposed distributed identification algorithm converges asymptotically. Finally, a simulation example is given to demonstrate the effectiveness of the proposed algorithm.
UR - https://www.scopus.com/pages/publications/85075784808
U2 - 10.1109/ICCA.2019.8899976
DO - 10.1109/ICCA.2019.8899976
M3 - Conference contribution
AN - SCOPUS:85075784808
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 818
EP - 823
BT - 2019 IEEE 15th International Conference on Control and Automation, ICCA 2019
PB - IEEE Computer Society
T2 - 15th IEEE International Conference on Control and Automation, ICCA 2019
Y2 - 16 July 2019 through 19 July 2019
ER -