Model-based Architecture for Multi-Sensor Fault Detection, Isolation and Accommodation in Natural-Gas Pipelines
A significant quantity of sensors distributed throughout the natural gas pipeline is
susceptible to errors. Timely diagnosis of sensor faults in such scenarios holds great …
susceptible to errors. Timely diagnosis of sensor faults in such scenarios holds great …
[PDF][PDF] Implementation of Kalman filter algorithm on reduced models with linear matrix inequality method and its application to heat conduction problems
N Estuningsih, E Apriliani - International Journal of Civil …, 2019 - academia.edu
In this paper, we discuss the model reduction and estimation of state variables of the heat
conduction system by using Linear Matrix Inequality method and Kalman filter algorithm. We …
conduction system by using Linear Matrix Inequality method and Kalman filter algorithm. We …
Implementation of Kalman filter algorithm on reduced models using Linear Matrix Inequality method and its application to measurement water level
N Estuningsih, E Apriliani - Journal of Physics: Conference …, 2020 - iopscience.iop.org
This paper presents the model reduction and estimation of the state variables of the water
level system using the Linear Matrix Inequality (LMI) method and the Kalman filter algorithm …
level system using the Linear Matrix Inequality (LMI) method and the Kalman filter algorithm …