Framework for state and unknown input estimation of linear time-varying systems

The design of unknown-input decoupled observers and lters requires the assumption of an existence condition in the literature.This paper addresses an unknown input ltering problem where the existence condition is not satised. Instead of designing a traditional unknown input decoupled lter, a Double-Model Adaptive Estimation approach is extended...

Identification of Probe of an Atomic Force Microscope Using Curve Fitting

<br/>In recent years the Tapping Mode-Atomic Force Microscope (TM-AFM) has become one of the most important tools for imaging on the nanometer scale. In comparison with other contemporary technologies, the AFMs have been able to obtain atomic resolution both in high vacuum and liquid environments thus affirming their supremacy. The AFM can be...

Observing Solid Concentrations in a Vertical Hydraulic Transport System

At large oceans depths (5000m) manganese nodules are formed, these are rock shaped objects that contain various rare earth metals, Royal IHC is currently developing equipment to bring these nodules to the shore. The nodules will be transported to the water surface using a Vertical Transport System (VTS).<br/><br/>In the VTS insight of the...

Digital Twin of Calais Canal with Model Predictive Controller: A Simulation on a Real Database

This paper presents the design of a model predictive control (MPC) for the Calais canal, located in the north of France for satisfactory management of the system. To estimate the unknown inputs/outputs arising from the uncontrolled pumps, a digital twin (DT) in the framework of a Matlab-SIC2 is used to reproduce the dynamics of the canal, and...