human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "multi sensor control for multi object bayes filters"):
  Abstract: Abstract   Sensor management in multi-object stochastic systems is a theoretically and computationally challenging problem. This paper presents a new approach to the multi-target multi-sensor control problem within the partially observed Markov decision process (POMDP) framework. We model the multi-object state as a labeled multi-Bernoulli random finite set (RFS), and use the labeled multi-Bernoulli filter in conjunction with minimizing a task-driven control objective function: posterior expected error of cardinality and state (PEECS). A major contribution is a guided search for multi-dimensional optimization in the multi-sensor control command space, using coordinate descent method. In conjunction with the Generalized Covariance Intersection method for multi-sensor fusion, a fast multi-sensor control algorithm is achieved. Numerical studies are presented in several scenarios where numerous controllable (mobile) sensors track multiple moving targets with different levels of observability. The results show that our method works significantly faster than the approach taken by the state of the art methods, with similar tracking errors.

Includes members:
  Member "distributed fusion with multi bernoulli filter based on generalized covariance intersection":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "decentralized poisson multi bernoulli filtering for vehicle tracking")
  Member "multi bernoulli sensor control via minimization of expected estimation errors":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "statistical information fusion for multiple view sensor data in multi object tracking")
  Member "sensor control for multi object tracking using labeled multi bernoulli filter":
    also connected through other hyperedges:
      (none)
  Member "the cauchy schwarz divergence for poisson point processes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "decentralized multi target tracking in urban environments overview and challenges")
  Member "consensus labeled random finite set filtering for distributed multi object tracking":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "decentralized poisson multi bernoulli filtering for vehicle tracking")
  Member "sensor management for multi target tracking via multi bernoulli filtering":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "multi objective multi agent planning for jointly discovering and tracking mobile object")
  Member "on the finite time convergence of cyclic coordinate descent methods":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "block cyclic stochastic coordinate descent for deep neural networks")

Question: Please tell me which class the source paper 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)