scholarly journals Novel distributed state estimation method for the AC-DC hybrid microgrid based on the Lagrangian relaxation method

2019 ◽  
Vol 2019 (18) ◽  
pp. 4932-4936 ◽  
Author(s):  
Ling Ping ◽  
Kong Xiangrui ◽  
Fang Chen ◽  
Yan Zheng
Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3069 ◽  
Author(s):  
Li ◽  
Wang ◽  
Zheng

Distributed state estimation plays a key role in space situation awareness via a sensor network. This paper proposes two adaptive consensus-based unscented information filters for tracking target with maneuver and colored measurement noise. The proposed filters can fulfill the distributed estimation for non-linear systems with the aid of a consensus strategy, and can reduce the impact of colored measurement noise by employing the state augmentation and measurement differencing methods. In addition, a fading factor that shrinks the predicted information state and information matrix can suppress the impact of dynamical model error induced by target maneuvers. The performances of the proposed algorithms are investigated by considering a target tracking problem using a space-based radar network. This shows that the proposed algorithms outperform the traditional consensus-based distributed state estimation method in aspects of tracking stability and accuracy.


2020 ◽  
Vol 53 (5) ◽  
pp. 182-188
Author(s):  
Sergei Parsegov ◽  
Samal Kubentayeva ◽  
Elena Gryazina ◽  
Alexander Gasnikov ◽  
Federico Ibáñez

Author(s):  
Stefano Riverso ◽  
Marcello Farina ◽  
Riccardo Scattolini ◽  
Giancarlo Ferrari-Trecate

2021 ◽  
Vol 1802 (3) ◽  
pp. 032088
Author(s):  
Xiaonan Yang ◽  
Yansheng Lang ◽  
Heng Zhang ◽  
Yan Lv ◽  
Chengzhi Zhu ◽  
...  

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