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[1] On the Decidability and Complexity of Diagnosability for Labeled Petri Nets (vol 62, pg 5931, 2017) IEEE Transactions on Automatic Control, 2019,
[2] Opacity enforcing supervisory control using non-deterministic supervisors 21st IFAC World Congress, 2020,
[3]yinxiang,yinxiang. Opacity enforcement using nondeterministic publicly-known edit functions IEEE Transactions on Automatic Control, 2019,
[4]yinxiang. Opacity of Nondeterministic Transition Systems: A (Bi)Simulation Relation Approach IEEE Transactions on Automatic Control, 2019,
[5] Verification of Prognosability for Labeled Petri Nets IEEE Transactions on Automatic Control, 2018,
[6] Decentralized Fault Prognosis of Discrete-Event Systems Using State-Estimate-Based Protocols IEEE TRANSACTIONS ON CYBERNETICS, 2019,
[7]yinxiang. Verification of Coprognosability in Decentralized Fault Prognosis of Labeled Petri Nets Proceedings of the IEEE Conference on Decision and Control, 2019,
[8] Robust Diagnosability and Robust Prognosability of Discrete-Event Systems Revisited 2018 IEEE 8th Annual International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (IEEE-Cyber), 2018,
[9] Robust fault diagnosis of stochastic discrete event systems IEEE Transactions on Automatic Control, 2019,
[10] Towards Approximate Opacity of Cyber-Physical System ICCPS '19: PROCEEDINGS OF THE 2019 10TH ACM/IEEE INTERNATIONAL CONFERENCE ON CYBER-PHYSICAL SYSTEMS, 2019,
[11] Robust Diagnosability and Robust Prognosability of Discrete-Event Systems Revisited 8th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, Cyber 2018, 2019,
[12] A general approach for optimizing dynamic sensor activation for discrete event systems Automatica, 2019,
[13] Infinite-step opacity and K-step opacity of stochastic discrete-event systems Automatica, 2019,
[14] Synthesis of Maximally-Permissive Non-blocking Supervisors for the Lower-Bound Containment Problem IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2018,
[15] Training Drift Counteraction Optimal Control Policies Using Reinforcement Learning: An Adaptive Cruise Control Example IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018,
total93 5/7
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