Quantized dissipative control for fuzzy hot strip mill cooling system under input constraint via dynamic output feedback approach

Teng-Fei Li, Liming Ding, Jun Xiong and Haibing Li

Applied Mathematics and Computation, 2026, vol. 508, issue C

Abstract: This article focuses on the investigation of finite-time dissipative control for hot strip mill cooling system under input constraint. Through the utilization of the Takagi-Sugeno (T-S) fuzzy model to depict the nonlinear components, the system under investigation is characterized by parabolic partial differential equations (PPDE). To enhance the efficiency of network resources, signals of the measurement output and control input are quantized through a specific dynamic quantizer scheme. Consequently, a spatial-independent output feedback dynamic controller is developed. The analysis of finite-time dissipative performance for the fuzzy system is provided, incorporating the impact of quantization through the constructed Lyapunov functional. Using predetermined parameters, conditions for the fuzzy cooling system are established to ensure the specified control performance, taking into account the constrained control inputs for the fuzzy closed-loop system. Additionally, a method involving arbitrary given matrices is employed to deal with the coupled nonlinear terms within the control design conditions. Finally, the effectiveness of the developed dissipative control strategy is demonstrated through the presentation of simulation results.

Keywords: Parabolic partial differential equations; T-S fuzzy model; Dynamic quantization; Dissipative (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:508:y:2026:i:c:s0096300325003418

DOI: 10.1016/j.amc.2025.129615

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