New observer and state estimates to nonlinear systems with real-order derivatives

The problem of constructing an observer system to nonlinear systems with real-order derivatives seems a very new issue in advanced control theory. This paper considers real-order derivative systems associated with time-dependent coefficients and different orders in (0,1], and the random initial-time lying in the real number line. We implement the known idea of linear nonhomogeneous time-varying controller and provide an approach that can be used to design an observer for such systems. We develop new comparison results that give order-dependent criteria in order to construct observers for such systems. It is found that the Metzler matrix and a non-negative matrix play an important role in the analysis of observers and state estimates of such systems.

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Publication Details

Journal
Franklin Open
Published
2025-07-26
DOI
https://doi.org/10.1016/j.fraope.2025.100323
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

New observer and state estimates to nonlinear systems with real-order derivatives

Bichitra Kumar Lenka, Swaroop Nandan Bora
Franklin Open
Adaptive Control of Nonlinear Systems
article

New observer and state estimates to nonlinear systems with real-order derivatives

Bichitra Kumar Lenka, Swaroop Nandan Bora
article en

Abstract

The problem of constructing an observer system to nonlinear systems with real-order derivatives seems a very new issue in advanced control theory. This paper considers real-order derivative systems associated with time-dependent coefficients and different orders in (0,1], and the random initial-time lying in the real number line. We implement the known idea of linear nonhomogeneous time-varying controller and provide an approach that can be used to design an observer for such systems. We develop new comparison results that give order-dependent criteria in order to construct observers for such systems. It is found that the Metzler matrix and a non-negative matrix play an important role in the analysis of observers and state estimates of such systems.

Franklin OpenVol. 12
Openalex Percentile: Top 79%
Adaptive Control of Nonlinear Systems
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