Fuzzy control model and simulation for nonlinear supply chain system with lead times
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Publication:1674827
DOI10.1155/2017/2017634zbMath1373.93201OpenAlexW2754699040MaRDI QIDQ1674827
Min Zhang, Songtao Zhang, Si-Qi Zhang, Yan-Ting Hou
Publication date: 26 October 2017
Published in: Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2017/2017634
asymptotical stabilityrobust \(H_{\infty}\) controlTakagi-Sugeno fuzzy controlfuzzy robust controlnonlinear supply chain
Sensitivity (robustness) (93B35) Fuzzy control/observation systems (93C42) (H^infty)-control (93B36) Trade models (91B60)
Related Items (5)
Fuzzy emergency model and robust emergency strategy of supply chain system under random supply disruptions ⋮ Decision of lead-time compression and stable operation of supply chain ⋮ Dynamic complexities in a supply chain system with lateral transshipments ⋮ Mitigation of bullwhip effect in closed-loop supply chain based on fuzzy robust control approach ⋮ Efficient enumeration of \(d\)-minimal paths in reliability evaluation of multistate networks
Cites Work
- A robust optimization approach to reduce the bullwhip effect of supply chains with vendor order placement lead time delays in an uncertain environment
- Collaborative production planning of supply chain under price and demand uncertainty
- Robust \(H_\infty\) control for a class of uncertain switched fuzzy time-delay systems based on T-S models
- Mitigating variance amplification under stochastic lead-time: the proportional control approach
- Stability analysis and systematic design of Takagi--Sugeno fuzzy control systems
- Robust design of (s,S) inventory policy parameters in supply chains with demand and lead time uncertainties
- Delay-Dependent Guaranteed Cost Control for T–S Fuzzy Systems With Time Delays
- Robust control for a class of uncertain switched fuzzy systems
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