human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "performance characterization using aoi in a single loop networked control system"
  Abstract: The joint design of control and communication scheduling in a Networked Control System (NCS) is known to be a hard problem. Several research works have successfully designed optimal sampling and/or control strategies under simplified communication models, where transmission delays/times are negligible or fixed. However, considering sophisticated communication models, with random transmission times, result in highly coupled and difficult-to-solve optimal design problems due to the parameter inter-dependencies between estimation/control and communication layers. To tackle this problem, in this work, we investigate the applicability of Age-of-Information (AoI) for solving control/estimation problems in an NCS under i.i.d. transmission times. Our motivation for this investigation stems from the following facts: 1) recent results indicate that AoI can be tackled under relatively sophisticated communication models, and 2) a lower AoI in an NCS may result in a lower estimation/control cost. We study a joint optimization of sampling and scheduling for a single-loop stochastic LTI networked system with the objective of minimizing the time-average squared norm of the estimation error. We first show that under mild assumptions on information structure the optimal control policy can be designed independently from the sampling and scheduling policies. We then derive a key result that minimizing the estimation error is equivalent to minimizing a function of AoI when the sampling decisions are independent of the state of the LTI system. Noting that minimizing the function of AoI is a stochastic combinatorial optimization problem and is hard to solve, we resort to heuristic algorithms obtained by extending existing algorithms in the AoI literature. We also identify a class of LTI system dynamics for which minimizing the estimation error is equivalent to minimizing the expected AoI.

Connected through hyperedge HE-1 (induced by source paper "probability analysis of age of information in multi hop networks"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "age of information vs value of information scheduling for cellular networked control systems"
    - "age of information in a network of preemptive servers"
    - "age optimal trajectory planning for uav assisted data collection"
    - "age optimal information updates in multihop networks"
    - "status updates over unreliable multiaccess channels"
    - "update or wait how to keep your data fresh"
    - "on the age of information in status update systems with packet management"

Connected through hyperedge HE-2 (induced by source paper "a whittle index approach to minimizing functions of age of information"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "age of information vs value of information scheduling for cellular networked control systems"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "the cost of delay in status updates and their value non linear ageing"
    - "optimizing information freshness in wireless networks under general interference constraints"
    - "age and value of information non linear age case"
    - "update or wait how to keep your data fresh"

Connected through hyperedge HE-3 (induced by source paper "deadline aware scheduling for maximizing information freshness in industrial cyber physical system"):
  with members:
    - "minimizing the age of information in wireless networks with stochastic arrivals"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "optimizing information freshness in wireless networks under general interference constraints"
    - "age optimal sampling and transmission scheduling in multi source systems"
    - "optimizing data freshness throughput and delay in multi server information update systems"

Connected through hyperedge HE-4 (induced by source paper "sampling for data freshness optimization non linear age functions"):
  with members:
    - "sampling for remote estimation through queues age of information and beyond"
    - "age optimal updates of multiple information flows"
    - "the age of information in networks moments distributions and sampling"
    - "information aging through queues a mutual information perspective"
    - "a dynamic jamming game for real time status updates"
    - "joint status sampling and updating for minimizing age of information in the internet of things"
    - "optimizing information freshness in wireless networks under general interference constraints"
    - "age of information minimization for an energy harvesting source with updating erasures with and without feedback"

Connected through hyperedge HE-5 (induced by source paper "age of information minimization for an energy harvesting source with updating erasures with and without feedback"):
  with members:
    - "the age of information in networks moments distributions and sampling"
    - "finite time distributed state estimation over time varying graphs exploiting the age of information"
    - "optimal status updating for an energy harvesting sensor with a noisy channel"
    - "coded status updates in an energy harvesting erasure channel"
    - "age minimal online policies for energy harvesting sensors with random battery recharges"
    - "sending information through status updates"
    - "stochastic control with stale information part i fully observable systems"
    - "age minimal transmission for energy harvesting sensors with finite batteries online policies"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.SY(Systems and Control)