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: "additive manufacturing for high precision structural properties via feedback control"
  Abstract: This paper introduces the problem of printing a cantilever beam with precise structural requirements using Additive Manufacturing and feedback control. The manufactured cantilever beam is made of \SI{500}{} horizontal layers with different widths, allowing for various final shapes of the beam. The whole printing process is therefore formalized as a finite-horizon discrete control problem, with a target stiffness to achieve and a cost function to minimize, and where the controls are the widths of the successive layers. By using a model linking the widths of the different layers of the printed part to its final stiffness, the shape is optimized by solving the related control problem. The dynamics describing the printing process are based on a simple structural mechanics model depending on four real parameters that are determined by printing several specimens parts prior to starting the manufacturing of the cantilever beam. During the printing process, stiffness measurements are performed on the partially built part in order to adjust the widths of the subsequent layers. This type of feedback control, consisting in repeatedly solving an optimization problem starting from the current state at each step, produces parts with more precise structural properties than the equivalent open-loop control problem that only solves the optimization problem once at the initial state. By using closed-loop control, we show that two sources of structural properties uncertainty in AM can be alleviated: the difficulty to correctly model printing processes and their variability.

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)