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The Journal of the Operational Research Society
Lin and Makis (2002), adopted a continuous-time hidden Markov chain with a finite state space to describe the state process in a stochastic model with partially observed working states. ... state of the system is the root cause of the changes in observed monitoring signals, but not vice versa. ...
In this paper, we consider a multiuser uplink status update system, where a monitor aims to timely collect randomly generated status updates from multiple end nodes through a shared wireless channel. ... Due to the random generation of the status updates at the end node side, the monitor only grasps a partial knowledge of the status update arrivals. ... In this context, the monitor is only aware of the local age of an end node that is scheduled and transmits successfully. This leads to partial observation of the system information at the monitor. ...arXiv:2005.05443v2 fatcat:sphfdw3dtbdc7flpzlz5fprlpe
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148)
, Schwartz) -Active diagnosis (Teneketzis, Kumar) -Time templates (Holloway) • Stochastic setting (hypothesis testing, stochastic systems) -Probabilistic inference, alarm correlation (Hart, Bouloutas ... -Partial observations of input and state/output sequences -Partial, empirical averages about inputs, states and/or outputs • Deterministic framework -Partial observations about input and state/output ...doi:10.1109/acc.2001.945699 fatcat:j3otbynwh5dspjrzm5agmz6rou
We also investigate a partial scheduling scheme under both deterministic and stochastic environments for several system con®gurations. Ó ... In addition, we measure the eect of system size and type of work allocation (uniform and bottleneck) on the system performance. ... These two observations also hold in stochastic environment. ...doi:10.1016/s0377-2217(99)00311-2 fatcat:6ijzgktzg5difeujxthzn4i3uq
This is an investigation into the long-time behaviour of continu- ously monitored finite-dimensional quantum systems. ... (RS-MIEM-AM; Moscow) Long time behavior of continuously observed and controlled quantum systems (a study of the Belavkin quantum filtering equation). ...
In this paper a partially observed system is analyzed, where the state process is a jump diffusion process and the signal process can be either a diffusion or a discrete time process. ... Summary: “This paper focuses on the interdisciplinary character of the problems of stochastic adaptive control of continuous-time systems. ...
systems (nonlinear filtering, nonparametric methods, particle filtering, partial identification, stochastic control, stochastic realization, system identification). ... These papers have covered both the theoretical and practical aspects of complex systems ... Acknowledgments This special issue is a timely reflection of the recent research progress in the area of mathematical control of complex systems. ...doi:10.1155/2014/825210 fatcat:g7g4d2pozjdclkphkv3547sss4
Hence, the state of the system at a certain time period must be estimated by using partially observed data obtained at present and previous time periods. ... In a certain condition, several stochastic optimization techniques only require partial state observations: systems equations and observation equations are both linear, the objective function is quadratic ...doi:10.1002/(sici)1099-1085(20000228)14:3<621::aid-hyp958>3.0.co;2-s fatcat:hdisi34y7va2pbtvjyn2lbvyji
The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. ... If the observed workload attributes and states in the workload model do not have one-to-one correspondence, the MDP becomes a Partially Observable Markov Decision Process (POMDP). ... To the best of our knowledge, this is the first time that the stochastic policy is used for power management in a partially observable system. ...doi:10.1109/date.2008.4484668 dblp:conf/date/TanQ08 fatcat:g35sttffjvgyjjgid74674nea4
Proceedings of the conference on Design, automation and test in Europe - DATE '08
The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. ... If the observed workload attributes and states in the workload model do not have one-to-one correspondence, the MDP becomes a Partially Observable Markov Decision Process (POMDP). ... To the best of our knowledge, this is the first time that the stochastic policy is used for power management in a partially observable system. ...doi:10.1145/1403375.1403402 fatcat:ebgup6x6yjdrbmzsvv6be2r2ta
Keywords-robust fault estimation; stochastic Takagi-Sugeno systems; unknown input observer; stochastic input-to-state stability I. ... The considered unknown inputs can be either completely decoupled or partially decoupled by observers. ... Nevertheless, to the best of the authors' knowledge, no effort has been devoted to do unknown input observer-based fault reconstruction for stochastic nonlinear systems in presence of partially decoupled ...doi:10.1109/iecon.2016.7793639 dblp:conf/iecon/LiuGBS16 fatcat:65aqtupifvfovhgavgqfjcunoe
For stochastic systems, a degree of observability may be defined and the observability problem is not a binary (i.e., yes-no) question anymore. ... Much has been said about observability in system theory and control; however, it has been recently that observability in complex networks has seriously attracted the attention of researchers. ... For stochastic systems, there is not a unique definition of observability. However, most of the proposed definitions for observability of stochastic systems have roots in information theory. ...doi:10.1093/comnet/cnw021 fatcat:4piobyygoraxnnlugooj6pmpri
Summary: “The problem of determining the suboptimal measure- ment scheduling for a stochastic discrete-time distributed param- eter system described by nonlinear partial differential equations is discussed ... Medhin (1-ATLU) 92d:49052 49K45 93B07 93C20 93E20 Korbicz, Jézef (PL-ZLG) Discrete-scanning observation problem for stochastic nonlinear discrete-time distributed parameter systems. Internat. J. ...
Proceedings of International Symposium on Sensor Networks, Systems and Security
The partially observable Markov decision process (POMDP) is a useful choice for controlling stochastic systems. ... We model security issues as stochastic systems. This allows us to find weaknesses in existing security systems and propose new solutions. ... This makes the decentralized partially observable Markov decision process (DEC-POMDP) a more suitable tool to model the scheduling for the distributed system. ...doi:10.1007/978-3-319-75683-7_15 fatcat:llbov47mcjd7jiplo3frruzmrq
Hence a sensor system (possibly virtual) for process control and monitoring is highly prized. ... Hence a sensor system (possibly virtual) for process control and monitoring is highly prized. ... Hence a sensor system (possibly virtual) for process control and monitoring is highly prized. ...doi:10.1016/j.ifacol.2019.10.015 fatcat:z25rtpohozamfmttidh57z3kry
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