Observer‐Based Non‐Fragile H∞$$ {H}_{\infty } $$ Tracking Controller Design for Networked Control Systems With Dynamic Quantization and Its Application

ABSTRACT In this article, the observer‐based non‐fragile tracking control problem of networked control systems (NCSs) with dynamic quantization is studied. The Takagi‐Sugeno (T‐S) fuzzy model is employed to approximate the nonlinear components of NCSs. By considering the actual network transmission process, the network bandwidth is limited, to ensure the effective transmission of information, dynamic quantizers are introduced from the T‐S fuzzy model to the observer and controller to T‐S fuzzy model. The goal is to design an observer‐based tracking controller to ensure the tracking performance of the system. A two‐step decoupling approach is employed to address the coupling terms present in the system model and the controller. The required parameters for the observer‐based tracking controller can be determined through the resolution of linear matrix inequalities (LMIs). Finally, through the establishment of the photovoltaic (PV) maximum power point tracking (MPPT) fuzzy model, the viability and practicality of the proposed method within the actual system model have been validated.

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Publication Details

Journal
International Journal of Adaptive Control and Signal Processing
Published
2025-08-18
DOI
https://doi.org/10.1002/acs.4057
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Observer‐Based Non‐Fragile H∞$$ {H}_{\infty } $$ Tracking Controller Design for Networked Control Systems With Dynamic Quantization and Its Application

Xiao‐Heng Chang, Ximing Liu, Likun Hou
International Journal of Adaptive Control and Signal Processing
Stability and Control of Uncertain Systems
article

Observer‐Based Non‐Fragile H∞$$ {H}_{\infty } $$ Tracking Controller Design for Networked Control Systems With Dynamic Quantization and Its Application

Xiao‐Heng Chang, Ximing Liu, Likun Hou
article en

Abstract

ABSTRACT In this article, the observer‐based non‐fragile tracking control problem of networked control systems (NCSs) with dynamic quantization is studied. The Takagi‐Sugeno (T‐S) fuzzy model is employed to approximate the nonlinear components of NCSs. By considering the actual network transmission process, the network bandwidth is limited, to ensure the effective transmission of information, dynamic quantizers are introduced from the T‐S fuzzy model to the observer and controller to T‐S fuzzy model. The goal is to design an observer‐based tracking controller to ensure the tracking performance of the system. A two‐step decoupling approach is employed to address the coupling terms present in the system model and the controller. The required parameters for the observer‐based tracking controller can be determined through the resolution of linear matrix inequalities (LMIs). Finally, through the establishment of the photovoltaic (PV) maximum power point tracking (MPPT) fuzzy model, the viability and practicality of the proposed method within the actual system model have been validated.

International Journal of Adaptive Control and Signal ProcessingVol. 39(9)
Bohai University (CN)
Openalex Percentile: Top 75%
Stability and Control of Uncertain Systems
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