Original scientific paper
https://doi.org/10.1080/00051144.2024.2314914
An anomaly affected discrete LTI systems: a moving horizon approach for estimating position and temperature measurements
Anees Fathima Bashir
; Department of Electronics & Communication Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, India
*
M. P. Flower Queen
; Department of Electrical and Electronics Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, India
Irfan Habib
; Department of Electronics & Communication Engineering, Madras Institute of Technology, Chennai, India
* Corresponding author.
Abstract
A real-time system may be subjected to various anomalies that can affect the quality of the observations. The main motivation of the article arises from the need in addressing challenges posed
by the presence of anomalies in discrete linear time-invariant (LTI) systems with a focus on the
estimation processes, in the context of position and temperature measurements. The proposed
approach leverages the properties of discrete LTI systems and takes advantage of the predictive
capabilities of the moving horizon strategy (MHS). It operates recursively updating estimates of
new measurement while fairly considering its past estimates that occur within the window of the
moving horizon. The estimation framework will be designed to handle disturbances and provide
robust estimates, to ensure the effectiveness of the system. In order to validate the proposed
approach simulation studies were conducted on different and only scenarios in different order
LTI system. Comparative studies with different estimation techniques demonstrate the capability of the proposed approach in terms of performance and efficiency. The proposed approach
can be applied to systems with changing system dynamics. Future research may be conducted
to utilize this strategy in other domains to mitigate anomalies while enhancing performance.
Keywords
Horizon approach; linear time invariant systems; Kalman filter; position estimation and MHE
Hrčak ID:
326198
URI
Publication date:
26.2.2024.
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