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Robust Deadlock Avoidance Policy for Automated Manufacturing System With Multiple Unreliable Resources 被引量:4
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作者 Jianchao Luo Zhiqiang Liu +1 位作者 shuogang wang Keyi Xing 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2020年第3期812-821,共10页
This work studies the robust deadlock control of automated manufacturing systems with multiple unreliable resources. Our goal is to ensure the continuous production of the jobs that only require reliable resources. To... This work studies the robust deadlock control of automated manufacturing systems with multiple unreliable resources. Our goal is to ensure the continuous production of the jobs that only require reliable resources. To reach this goal, we propose a new modified Banker's algorithm(MBA) to ensure that all resources required by these jobs can be freed. Moreover,a Petri net based deadlock avoidance policy(DAP) is introduced to ensure that all jobs remaining in the system after executing the new MBA can complete their processing smoothly when their required unreliable resources are operational. The new MBA together with the DAP forms a new DAP that is robust to the failures of unreliable resources. Owing to the high permissiveness of the new MBA and the optimality of the DAP, it is tested to be more permissive than state-of-the-art control policies. 展开更多
关键词 Automated manufacturing system(AMS) DEADLOCK avoidamce policy(DAP) modified Banker's algorithm(MBA) PETRINET
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