|Table of Contents|

T-S fuzzy controller design for supply chain systems with time-varying delay(PDF)

《纺织高校基础科学学报》[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2017年02期
Page:
266-271
Research Field:
Publishing date:

Info

Title:
T-S fuzzy controller design for supply chain systems with time-varying delay
Author(s):
LI Yugang1 LI Qingkui2
 1.School of Mathematical Sciences, Shanxi University, Taiyuan 030006, China;
2.School of Automation,Beijing Information Science & Technology University,Beijing 100192,China
Keywords:
supply chain systems T-S fuzzy systems time-varying delay asymptotically stable
PACS:
TP 13
DOI:
10.13338/j.issn.1006-8341.2017.02.018
Abstract:
In order to satisfy the various consumer demand and reflect effectively the nonlinear characteristic in the process of practice supply.The fuzzy control problem of supply chain systems with time-varying delay is concerned. Firstly, a T-S fuzzy model is used to describe the considered supply chain system. Then, based on the Lyapunov approach and parallel distributed compensation technology, sufficient conditions of asymptotically stable with a disturbance attenuation level γ are established. Furthermore, conditions for controller design are given by the LMIs, which are easily available for resolution. Finally, a numerical example is proposed to illustrate the effectiveness, it shows that under the condition of low inventory, the consumer demand is met by using the controller designed method. supply chain systems; T-S fuzzy systems; time-varying delay; asymptotically stable

References:

[1] WANG Hongwei,LIU Huixin,YANG Jianbo.Dynamic analysis of a two-stage supply chain:A switched system theory approach[J].International Journal of Advanced Manufacturing Technology,2009,43(1):200-210. [2] IGNACIUK P,BARTOSZEWICZ A.Linear-quadratic optimal control of periodic-review perishable inventory systems[J].IEEE Transactions on Control Systems Technology,2012,20(5):1400-1407. [3] RODRIGUES L,BOUKAS E K.Piecewise-linear H controller synthesis with applications to inventory control of switched production systems[J].Automatica,2006,42(8):1245-1254. [4] GARCIA C A,IBEAS A,VILANOVA R.A switched control strategy for inventory control of the supply chain[J].Journal of Process Control,2013,23(6):868-880. [5] IGNACIUK P.Discrete-time control of production-inventory systems with deteriorating stock and unreliable supplies[J].IEEE Transactions on Systems Man & Cybernetics Systems,2015,45(2):338-348. [6] CHOI T M,YEUNG W K,CHENG T C E.Scheduling and co-ordination of multi-suppliers single-warehouse-operator single-manufacturer supply chains with variable production rates and storage costs[J].International Journal of Production Research,2013,51(9):2593-2601. [7] IVANOV D,DOLGUI A,SOKOLOV B.Robust dynamic schedule coordination control in the supply chain[J].Computers & Industrial Engineering,2016,94(c):18-31. [8] WANG Zheng,CHAN F T S.A robust replenishment and production control policy for a single-stage production/inventory system with inventory inaccuracy[J].IEEE Transactions on Systems Man & Cybernetics Systems,2015,45(2):326-337. [9] SARIMVEIS H,PATRINOS P,TARANTILIS C D,et al.Dynamic modeling and control of supply chain systems:A review[J].Computers & Operations Research,2008,35(11):3530-3561. [10] DONG Jiuxiang,YANG Guanghong,ZHANG Huaguang.Stability analysis of T-S fuzzy control systems by using set theory[J].IEEE Transactions on Fuzzy Systems,2014,23(4):827-841. [11] PENG Chen,YUE Dong,TIAN Yuchu.New approach on robust delay-dependent H controller synthesis with applications to inventory control of switched production systems[J].Automatica,2006,42(8):1245-1254. [4] GARCIA C A,IBEAS A,VILANOVA R.A switched control strategy for inventory control of the supply chain[J].Journal of Process Control,2013,23(6):868-880. [5] IGNACIUK P.Discrete-time control of production-inventory systems with deteriorating stock and unreliable supplies[J].IEEE Transactions on Systems Man & Cybernetics Systems,2015,45(2):338-348. [6] CHOI T M,YEUNG W K,CHENG T C E.Scheduling and co-ordination of multi-suppliers single-warehouse-operator single-manufacturer supply chains with variable production rates and storage costs[J].International Journal of Production Research,2013,51(9):2593-2601. [7] IVANOV D,DOLGUI A,SOKOLOV B.Robust dynamic schedule coordination control in the supply chain[J].Computers & Industrial Engineering,2016,94(c):18-31. [8] WANG Zheng,CHAN F T S.A robust replenishment and production control policy for a single-stage production/inventory system with inventory inaccuracy[J].IEEE Transactions on Systems Man & Cybernetics Systems,2015,45(2):326-337. [9] SARIMVEIS H,PATRINOS P,TARANTILIS C D,et al.Dynamic modeling and control of supply chain systems:A review[J].Computers & Operations Research,2008,35(11):3530-3561. [10] DONG Jiuxiang,YANG Guanghong,ZHANG Huaguang.Stability analysis of T-S fuzzy control systems by using set theory[J].IEEE Transactions on Fuzzy Systems,2014,23(4):827-841. [11] PENG Chen,YUE Dong,TIAN Yuchu.New approach on robust delay-dependent b>∞ control for uncertain T-S fuzzy systems with interval time-varying delay[J].IEEE Transactions on Fuzzy Systems,2009,17(4):890-900. [12] XIE Xiangpeng,MA Hongjun,ZHAO Yan,et al.Control synthesis of discrete-time T-S fuzzy systems based on a novel non-PDC control scheme[J].IEEE Transactions on Fuzzy Systems,2013,21(1):147-157. [13] LIU Yajuan,LEE S M.Stability and stabilization of Takagi-Sugeno fuzzy systems via sampled-data and state quantized controller[J].IEEE Transactions on Fuzzy Systems,2016,24(3):635-644. [14] ZHAO Xudong,YIN Yunfei,ZHANG Lixian,et al.Control of switched nonlinear systems via T-S fuzzy modeling[J].IEEE Transactions on Fuzzy Systems,2016,24(1):235-241. [15] SU Xiaojie,WU Ligang,SHI Peng,et al.Model approximation for fuzzy switched systems with stochastic perturbation[J].IEEE Transactions on Fuzzy Systems,2015,23(5):1458-1473. [16] DONG Jiuxiang,WANG Youyi,YANG Guanghong.Control synthesis of continuous-time T-S fuzzy systems with local nonlinear models[J].IEEE Transactions on Systems Man & Cybernetics,2009,39(5):1245-1258.

Memo

Memo:
-
Last Update: 2017-07-22