A state estimation scheme with minimal sensor configuration for three-body tethered satellite formations

2020 ◽  
Vol 66 (11) ◽  
pp. 2667-2680
Author(s):  
Yizhai Zhang ◽  
Piaoqi Zhang ◽  
Guotao Fang ◽  
Panfeng Huang
2021 ◽  
Vol 180 ◽  
pp. 507-515
Author(s):  
Guotao Fang ◽  
Yizhai Zhang ◽  
Panfeng Huang ◽  
Fan Zhang

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 681
Author(s):  
Song Bo ◽  
Jinfeng Liu

The Richards’ equation is widely used in the modeling soil water dynamics driven by the capillary and gravitational forces in the vadose zone. Its state and parameter estimation based on field soil moisture measurements is important and challenging for field applications of the Richards’ equation. In this work, we consider simultaneous state and parameter estimation of systems described by the three dimensional Richards’ equation with multiple types of soil. Based on a study on the interaction between subsystems, we propose to use decentralized estimation schemes to reduce the complexity of the estimation problem. Guidelines for subsystem decomposition are discussed and a decentralized estimation scheme developed in the framework of moving horizon state estimation is proposed. Extensive simulation results are presented to show the performance of the proposed decentralized approach.


2008 ◽  
Vol 63 (11-12) ◽  
pp. 1188-1202 ◽  
Author(s):  
Ary Pizarro-Chong ◽  
Arun K. Misra

Author(s):  
H E Emara-Shabaik ◽  
Y A Khulief ◽  
I Hussaini

Model-based monitoring schemes are known to have a great potential in detection and localization of leaks in pipelines. Fluid flow in pipelines is characterized by a system of non-linear-coupled partial differential equations. Since state estimation can provide the basis for real-time monitoring of fluid flow in pipelines, a suitable numerical scheme is employed to formulate the problem in state-space form, which enables the development of state estimation techniques. A modified extended Kalman filter (MEKF) in conjunction with feed forward computations to anticipate the leak magnitude provides the core of the adaptive multimodel state estimation technique used in this paper. Numerical simulation results show that the developed state estimation scheme effectively detects and locates small leaks in pipelines within a short time duration.


2018 ◽  
Vol 86 ◽  
pp. 441-452 ◽  
Author(s):  
Sofia Papadopoulou ◽  
Claudio Roncoli ◽  
Nikolaos Bekiaris-Liberis ◽  
Ioannis Papamichail ◽  
Markos Papageorgiou

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