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Robust Deadlock Prevention for Automated Manufacturing Systems With Unreliable Resources by Using General Petri Nets.

, , , , and . IEEE Trans. Syst. Man Cybern. Syst., 50 (10): 3515-3527 (2020)

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Robust deadlock control of automated manufacturing systems with multiple unreliable resources., , , , , , and . Inf. Sci., (2019)Video Stream Session Migration Method Using Deep Reinforcement Learning in Cloud Computing Environment., and . Wirel. Commun. Mob. Comput., (2021)An efficient deadlock prevention policy based on selective transition covers for flexible manufacturing systems., and . ICNSC, page 484-489. IEEE, (2014)Brief Industry Paper: Workload-Aware GPU Performance Estimation in the Airborne Embedded System., , , , , , , , and . RTAS, page 417-420. IEEE, (2021)Predictive Model of Production Index for Sugar Clarification Process by GDFNN., , , and . ISNN (2), volume 7368 of Lecture Notes in Computer Science, page 585-593. Springer, (2012)Structural Liveness Analysis of Automated Manufacturing Systems Modeled by S4PRs., , , , and . IEEE Trans Autom. Sci. Eng., 16 (4): 1952-1959 (2019)Liveness Analysis and Deadlock Control for Automated Manufacturing Systems With Multiple Resource Requirements., , , and . IEEE Trans. Syst. Man Cybern. Syst., 50 (2): 525-538 (2020)Two-stage design method of robust deadlock control for automated manufacturing systems with a type of unreliable resources., , , and . Inf. Sci., (2019)Comment on Ön Siphon Computation for Deadlock Control in a Class of Petri Nets"., , and . IEEE Trans. Syst. Man Cybern. Part A, 39 (6): 1348-1350 (2009)Optimal monitor-based supervisor sythesis for a class of Petri nets with unobservable transitions., , , , and . ICNSC, page 498-502. IEEE, (2015)