The application of distributed parameter state estimation theory to a metallurgical casting operation

2006 ◽  
pp. 125-144 ◽  
Author(s):  
F. K. Greiss ◽  
W. H. Ray
Keyword(s):  
State Estimation ◽  
Estimation Theory ◽  
Distributed Parameter ◽  
Casting Operation

scholarly journals The Real Time Application of Distributed Parameter State Estimation Theory to a Two Dimensional Heated Ingot

1977 ◽  
Vol 10 (5) ◽  
pp. 451-467 ◽  
Author(s):  
G.K. Lausterer ◽  
W.H. Ray ◽  
H.R. Martens
Keyword(s):  
State Estimation ◽  
Real Time ◽  
Estimation Theory ◽  
Distributed Parameter ◽  
Two Dimensional ◽  
The Real ◽  
Real Time Application

On the distributed parameter least-squares state estimation theory

1973 ◽  
Vol 4 (6) ◽  
pp. 833-858 ◽  
Author(s):  
S. G. TZAFESTAS
Keyword(s):  
Least Squares ◽  
State Estimation ◽  
Estimation Theory ◽  
Distributed Parameter

scholarly journals State Estimation for a Class of Distributed Parameter Systems with Time-Varying Delay over Mobile Sensor–Actuator Networks with Missing Measurements

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 661
Author(s):  
Huansen Fu ◽  
Baotong Cui ◽  
Bo Zhuang ◽  
Jianzhong Zhang
Keyword(s):  
State Estimation ◽  
Distributed Parameter Systems ◽  
Operator Semigroup ◽  
Distributed Parameter ◽  
Time Varying ◽  
Mobile Sensor ◽  
Missing Measurements ◽  
Time Varying Delay ◽  
Sensor Actuator ◽  
Varying Delay

This work proposes a state estimation strategy over mobile sensor–actuator networks with missing measurements for a class of distributed parameter systems (DPSs) with time-varying delay. Initially, taking advantage of the abstract development equation theory and operator semigroup method, this kind of delayed DPSs described by partial differential equations (PDEs) is derived for evolution equations. Subsequently, the distributed state estimators including consistency component and gain component are designed; the purpose is to estimate the original state distribution of the delayed DPSs with missing measurements. Then, a delay-dependent guidance approach is presented in the form of mobile control forces by constructing an appropriate Lyapunov function candidate. Furthermore, by applying Lyapunov stability theorem, operator semigroup theory, and a stochastic analysis approach, the estimation error systems have been proved asymptotically stable in the mean square sense, which indicates the estimators can approximate the original system states effectively when this kind of DPS has time-delay and the mobile sensors occur missing measurements. Finally, the correctness of control strategy is illustrated by numerical simulation results.

scholarly journals Transient analysis of a wastewater treatment biofilter – distributed parameter modelling and state estimation

2006 ◽  
Vol 12 (5) ◽  
pp. 423-440 ◽  
Author(s):  
A. Vande Wouwer ◽  
C. Renotte ◽  
I. Queinnec ◽  
Ph. Bogaerts
Keyword(s):  
Wastewater Treatment ◽  
State Estimation ◽  
Transient Analysis ◽  
Distributed Parameter

Distributed and decentralized state estimation in gas networks as distributed parameter systems

2015 ◽  
Vol 58 ◽  
pp. 552-566 ◽  
Author(s):  
Hesam Ahmadian Behrooz ◽  
R. Bozorgmehry Boozarjomehry
Keyword(s):  
State Estimation ◽  
Distributed Parameter Systems ◽  
Distributed Parameter ◽  
Gas Networks ◽  
Decentralized State Estimation

scholarly journals State Estimation for Stochastic Distributed Parameter Systems under Noisy Boundary Observations

1979 ◽  
Vol 15 (1) ◽  
pp. 33-40
Author(s):  
Yoshifumi SUNAHARA ◽  
Shin-ichi AIHARA ◽  
Fumio KOJIMA
Keyword(s):  
State Estimation ◽  
Distributed Parameter Systems ◽  
Distributed Parameter
Sign in / Sign up

Export Citation Format

Share Document