Linear and Nonlinear Event-Triggered Extended State Observers for Uncertain Random Systems

成果类型:
Article
署名作者:
Wu, Ze-Hao; Deng, Feiqi; Zhou, Hua-Cheng; Zhao, Zhi-Liang
署名单位:
Foshan University; South China University of Technology; Central South University; North University of China
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2024.3370650
发表日期:
2024
页码:
6199-6206
关键词:
convergence vectors observers Colored noise uncertainty stability analysis uncertain systems estimation event-triggering mechanism (ETM) extended state observer (ESO) random systems
摘要:
In this article, linear and nonlinear event-triggered extended state observers are designed for a class of uncertain random systems driven by bounded noise and colored noise. Two event generators, with an ensured positive minimum interevent time for every sample path solution of the random systems, are proposed for the designs of linear and nonlinear event-triggered extended state observers, respectively. The mean square and almost sure convergence of the estimation errors of unmeasured state and random total disturbance, including internal uncertainty and external random noises, are presented with rigorous theoretical proofs. Compared with the linear event-triggered extended state observer, the theoretical results show that the nonlinear one via homogeneity possesses higher estimation accuracy but is at the price of higher triggering frequency. Some numerical simulations are performed to authenticate the theoretical results.