On Identifiability and Adaptive Identification of Decentralized Systems

The identification problem of decentralized control systems (DCS) is considered. Analysis shows that this problem has not been given sufficient attention. The complexity of systems and a priori uncertainty require the development of approaches and methods. DCS parametric identifiability (PI) requires a solution. We propose an approach to the PI assessment based on the fulfilment of the condition of constant excitation and consider the relationships in the subsystems. PI conditions are obtained. Algorithms for parametric and signal adaptive identification for DS have been synthesized. The exponential dissipativity of the identification system is proved. The influence of interrelations in subsystems is considered on properties of parameter estimates. Examples are given

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Published
2024-11-13
DOI
https://doi.org/10.1109/summa64428.2024.10803680
Primary Topic
Advanced Research in Systems and Signal Processing
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article
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article

On Identifiability and Adaptive Identification of Decentralized Systems

Nikolay Karabutov
Advanced Research in Systems and Signal Processing
article

On Identifiability and Adaptive Identification of Decentralized Systems

Nikolay Karabutov
article en

Abstract

The identification problem of decentralized control systems (DCS) is considered. Analysis shows that this problem has not been given sufficient attention. The complexity of systems and a priori uncertainty require the development of approaches and methods. DCS parametric identifiability (PI) requires a solution. We propose an approach to the PI assessment based on the fulfilment of the condition of constant excitation and consider the relationships in the subsystems. PI conditions are obtained. Algorithms for parametric and signal adaptive identification for DS have been synthesized. The exponential dissipativity of the identification system is proved. The influence of interrelations in subsystems is considered on properties of parameter estimates. Examples are given

MIREA - Russian Technological University (RU)
Reduced inequalities
Openalex Percentile: Top 71%
Advanced Research in Systems and Signal Processing
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