Experimental Validation of a Methodology for On Line State Estimation in Bioreactors

1989 ◽  
pp. 187-194 ◽  
Author(s):  
D. Dochain ◽  
E. De Buyl ◽  
G. Bastin
Keyword(s):  
State Estimation ◽  
Experimental Validation ◽  
On Line

scholarly journals Data-driven Robust State Estimation Through Off-line Learning and On-line Matching

2021 ◽  
Vol 9 (4) ◽  
pp. 897-909
Author(s):  
Yanbo Chen ◽  
Hao Chen ◽  
Yang Jiao ◽  
Jin Ma ◽  
Yuzhang Lin
Keyword(s):  
State Estimation ◽  
Data Driven ◽  
On Line

scholarly journals State Transfer via On-Line State Estimation and Lyapunov-Based Feedback Control for a N-Qubit System

Entropy ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. 751 ◽  
Author(s):  
Sajede Harraz ◽  
Shuang Cong
Keyword(s):  
Feedback Control ◽  
State Estimation ◽  
Open Quantum Systems ◽  
State Feedback Control ◽  
Quantum Master Equation ◽  
Control Law ◽  
Control Laws ◽  
Quantum State Estimation ◽  
State Transfer ◽  
On Line

In this paper, we propose a Lyapunov-based state feedback control for state transfer based on the on-line quantum state estimation (OQSE). The OQSE is designed based on continuous weak measurements and compressed sensing. The controlled system is described by quantum master equation for open quantum systems, and the continuous measurement operators are derived according to the dynamic equation of system. The feedback control law is designed based on the Lyapunov stability theorem, and a strict proof of proposed control laws are given. At each sampling time, the state is estimated on-line, which is used to design the control law. The simulation experimental results show the effectiveness of the proposed feedback control strategy.

scholarly journals Adaptive concept of state estimation with incomplete state vector measurement

2018 ◽  
Vol 21 ◽  
pp. 00005
Author(s):  
Tadeusz Kwater ◽  
Paweł Krutys ◽  
Robert Pękala ◽  
Bogdan Kwiatkowski
Keyword(s):  
State Estimation ◽  
State Vector ◽  
Amplification Factor ◽  
Simulation Experiments ◽  
Adaptive Approach ◽  
Object State ◽  
Vector Measurement ◽  
On Line ◽  
Stationary Disturbances

The paper presents the design and simulation experiments of the adaptive approach in the estimation of the object state realized by filter whose gain is calculated on-line. The adopted concept of determining the gain uses a defined for this purpose signal called an error and on the basis of its waveform features introduces an incremental correction of the amplification factor of the estimation filter. The obtained results of state estimation are characterized by stability and strong correctness even for cases of non-stationary disturbances

scholarly journals A Novel Fault Location Approach for Scientific Cabled Seafloor Observatories

2020 ◽  
Vol 8 (3) ◽  
pp. 190 ◽  
Author(s):  
Fan Yang ◽  
Feng Lyu
Keyword(s):  
State Estimation ◽  
Fault Location ◽  
Parameter Variation ◽  
Location Error ◽  
The East China Sea ◽  
Estimation Equations ◽  
Influence Of Temperature On ◽  
On Line ◽  
Location Methods ◽  
Laboratory Prototype

The maintenance of scientific cabled seafloor observatories (CSOs) is not only extremely difficult but also of high cost for their subsea location. Therefore, the cable fault detection and location are essential and must be carried out accurately. For this purpose, a novel on-line fault location approach based on robust state estimation is proposed, considering state data gross errors in sensor measurements and the influence of temperature on system parameter variation. The circuit theory is used to build state estimation equations and identify the power system topology of faulty CSOs. This method can increase the accuracy of fault location, and reduce the lose form shutting down a faulty CSO in traditional fault location methods. It is verified by computer simulation and the laboratory prototype of a planned CSO in the East China Sea, and the fault location error is proved to be less than 1 km.

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