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Observer‐Based Non‐Fragile H∞ Tracking Controller Design for Networked Control Systems With Dynamic Quantization and Its Application.

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Bibliographic Details
Title: Observer‐Based Non‐Fragile H∞ Tracking Controller Design for Networked Control Systems With Dynamic Quantization and Its Application.
Authors: Hou, Li‐Wei1 (AUTHOR), Chang, Xiao‐Heng1 (AUTHOR) changxiaoheng@sina.com, Liu, Xi‐Ming1 (AUTHOR)
Source: International Journal of Adaptive Control & Signal Processing. Sep2025, Vol. 39 Issue 9, p2009-2021. 13p.
Subject Terms: *OBSERVABILITY (Control theory), *SIGNAL quantization, *MAXIMUM power point trackers, *COOPERATIVE control systems, *FUZZY logic, *CONTROL theory (Engineering), *LINEAR matrix inequalities
Abstract: In this article, the observer‐based non‐fragile H∞$$ {H}_{\infty } $$ 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. [ABSTRACT FROM AUTHOR]
Database: Academic Search Index
Description
Abstract:In this article, the observer‐based non‐fragile H∞$$ {H}_{\infty } $$ 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. [ABSTRACT FROM AUTHOR]
ISSN:08906327
DOI:10.1002/acs.4057