Quantized Guaranteed Cost Control for Networked Control Systems With Random Delays and Interval Parameters

ABSTRACT This paper investigates the quantized guaranteed cost control design (GCCD) for networked control systems (NCSs) with interval parameters and random delays. A comprehensive NCS model is established, incorporating three key elements: Interval parameters represented as convex combinations of endpoints, random delays governed by a Markov chain, and quantization effects described by the sector‐bound method. Based on the model, sufficient conditions for the GCCD are derived using the Lyapunov functional approach combined with the cone complementary linearization (CCL) algorithm. Numerical simulations demonstrate the efficacy of the proposed method.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-11-14
DOI
https://doi.org/10.1002/rnc.70296
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantized Guaranteed Cost Control for Networked Control Systems With Random Delays and Interval Parameters

Guici Chen, Yue Liu, Leimin Wang, Fenglin Qu et al.
International Journal of Robust and Nonlinear Control
Stability and Control of Uncertain Systems
article

Quantized Guaranteed Cost Control for Networked Control Systems With Random Delays and Interval Parameters

Guici Chen, Yue Liu, Leimin Wang, Fenglin Qu, Shiping Wen
article en

Abstract

ABSTRACT This paper investigates the quantized guaranteed cost control design (GCCD) for networked control systems (NCSs) with interval parameters and random delays. A comprehensive NCS model is established, incorporating three key elements: Interval parameters represented as convex combinations of endpoints, random delays governed by a Markov chain, and quantization effects described by the sector‐bound method. Based on the model, sufficient conditions for the GCCD are derived using the Lyapunov functional approach combined with the cone complementary linearization (CCL) algorithm. Numerical simulations demonstrate the efficacy of the proposed method.

International Journal of Robust and Nonlinear ControlVol. 36(5)
University of Technology Sydney (AU), China University of Geosciences (CN), Wuhan University of Science and Technology (CN)
Openalex Percentile: Top 57%
Stability and Control of Uncertain Systems
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Quantized Guaranteed Cost Control for Networked Control Systems With Random Delays and Interval Parameters — Guici Chen, Yue Liu, et al. · International Journal of Robust and Nonlinear Control (2025) | TGRS Research Map | TGRS