Further results on the design of a class of discrete‐time set‐valued state estimators

2021 ◽  
Author(s):  
Nacim Meslem ◽  
Tarek Raïssi ◽  
Gildas Besançon
Keyword(s):  
Discrete Time ◽  
State Estimators

scholarly journals State estimation in a decentralized discrete time LQG control for a multisensor system

2017 ◽  
Vol 27 (1) ◽  
pp. 29-39 ◽  
Author(s):  
Zdzislaw Duda
Keyword(s):  
Discrete Time ◽  
Global State ◽  
Linear Quadratic ◽  
Control Laws ◽  
Decentralized System ◽  
Multisensor System ◽  
State Estimators ◽  
Local Measurements ◽  
Information Pattern ◽  
The Cost

Abstract In the paper a state filtration in a decentralized discrete time Linear Quadratic Gaussian problem formulated for a multisensor system is considered. Local optimal control laws depend on global state estimates and are calculated by each node. In a classical centralized information pattern the global state estimators use measurements data from all nodes. In a decentralized system the global state estimates are computed at each node using local state estimates based on local measurements and values of previous controls, from other nodes. In the paper, contrary to this, the controls are not transmitted between nodes. It leads to nonconventional filtration because the controls from other nodes are treated as random variables for each node. The cost for the additional reduced transmission is an increased filter computation at each node.

scholarly journals Design of non-fragile state estimators for discrete time-delayed neural networks with parameter uncertainties

2016 ◽  
Vol 182 ◽  
pp. 18-24 ◽  
Author(s):  
Yajing Yu ◽  
Hongli Dong ◽  
Zidong Wang ◽  
Weijian Ren ◽  
Fuad E. Alsaadi
Keyword(s):  
Neural Networks ◽  
Discrete Time ◽  
Parameter Uncertainties ◽  
Fragile State ◽  
Delayed Neural Networks ◽  
State Estimators
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