Stock Management Problem: Adaptive Fixed-Time Convergent Continuous Controller Design

被引:18
作者
Basin, Michael V. [1 ,2 ]
Guerra-Avellaneda, Fernando [1 ]
Shtessel, Yuri B. [3 ]
机构
[1] Autonomous Univ Nuevo Leon, Dept Phys & Math Sci, San Nicolas De Garza 66451, Mexico
[2] ITMO Univ, Int Sci Lab Integrated Syst Orientat & Nav, St Petersburg 199034, Russia
[3] Univ Alabama, Dept Elect & Comp Engn, Huntsville, AL 35899 USA
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2020年 / 50卷 / 12期
关键词
Supply chains; Convergence; Adaptive systems; Control systems; Switched mode power supplies; Drives; Disturbance observers; Adaptive control; nonlinear control system; supply and demand; MODE; MISPERCEPTIONS; FEEDBACK;
D O I
10.1109/TSMC.2019.2930563
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an adaptive fixed-time convergent continuous controller designed to solve a stock management problem with the objective to drive stock and supply chain levels at the reference values, subject to loss rate disturbances whose bounds are unknown. The only measurable state of the supply chain is the inventory retailer stock level, whereas the supply line inventory level should be estimated. The designed controller includes a fixed-time convergent differentiator, an adaptive fixed-time convergent disturbance observer, and a fixed-time convergent regulator. The adaptive fixed-time convergent observer is used to estimate a disturbance without excessively increasing the controller gains. The controller design is validated in a case study of stock management. The calculated upper estimate for the total settling (convergence) time and the obtained simulation results confirm the fixed-time convergence and the robustness of the designed controller.
引用
收藏
页码:4974 / 4983
页数:10
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