A Constrained Altruistic Method for Balancing Tracking Responsibility in a Distributed Fusion Network

2015 ◽  
Author(s):  
Thomas L. Frey
Keyword(s):  
Distributed Fusion

scholarly journals Distributed Fusion Estimation for Stochastic Uncertain Systems With Network-Induced Complexity and Multiple Noise

2021 ◽  
pp. 1-13
Author(s):  
Li Liu ◽  
Wenju Zhou ◽  
Minrui Fei ◽  
Zhile Yang ◽  
Hongyong Yang ◽  
...  
Keyword(s):  
Uncertain Systems ◽  
Distributed Fusion

Data fusion and simulation-based planning and control in cyber physical system for digital assembly of aeroplane

2015 ◽  
Vol 06 (03) ◽  
pp. 1550027 ◽  
Author(s):  
Hui Li ◽  
Linxuan Zhang ◽  
Tianyuan Xiao ◽  
Jietao Dong
Keyword(s):  
Data Fusion ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Estimation Algorithm ◽  
Asynchronous Sampling ◽  
Planning And Control ◽  
Adaptive Sliding Mode Controller ◽  
Simulation Based ◽  
And Control ◽  
Distributed Fusion

This paper introduces a CPS application for intelligent aeroplane assembly. At first, the CPS structure is presented, which acquires the characteristics of general CPS and enables "simulation-based planning and control" to achieve high level intelligent assembly. Then the paper puts forward data fusion estimation algorithm under synchronous and asynchronous sampling, respectively. The experiment shows that global optimal distributed fusion estimation under synchronized sampling proves to be closer to the actual value compared with ordinary weighted estimation, and multi-scale distributed fusion estimation algorithm of wavelet under asynchronous sampling does not need time registration, it can also directly link to data, and the error is smaller. This paper presents hybrid control strategy under the circumstance of joint action of the inner and outer loop to address the problems caused by the less controllable feature of the parallel mechanism when undertaking online process simulation and control. A robust adaptive sliding mode controller is designed based on disturbance observer to restrain inner interference and maintain robustness. At the same time, an outer collaborative trajectory planning is also designed. All the experiment results show the feasibility of above proposed methods.

scholarly journals Distributed Fusion Receding Horizon Filtering in Linear Stochastic Systems

2009 ◽  
Vol 2009 (1) ◽  
Author(s):  
IlYoung Song ◽  
DuYong Kim ◽  
YongHoon Kim ◽  
SukJae Lee ◽  
Vladimir Shin
Keyword(s):  
Stochastic Systems ◽  
Receding Horizon ◽  
Linear Stochastic Systems ◽  
Distributed Fusion

Distributed Fusion Kalman Self-Turning Filter

2013 ◽  
Vol 760-762 ◽  
pp. 1661-1665
Author(s):  
Ming Bo Zhang
Keyword(s):  
Kalman Filter ◽  
Riccati Equation ◽  
Global Optimal ◽  
Calculated Amount ◽  
Distributed Fusion

This paper puts forward an optimal and distributed fusion Kalman filter based on the Riccati equation, optimal and distributed fusion The Kalman filter has fewer calculated dimensions and less calculated amount than the centralized global optimal Kalman filter. Therefore, it has greater effect in the practice. Present the distributed local self-correcting Kalman filter at the same time. The simulation examples showed its validity.

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