Deriving Stochastic Properties from Behavior Models Defined by Monterey Phoenix
MetadataShow full item record
Stochastic properties of behavior models are of interest to the developer of a System of Systems (SoS) in order to gain insight to the likelihood of potential outcomes of the system. Constraints added to the system introduce changes to the inherent dependencies within a representative Bayesian belief network; thereby impacting the system. This paper defines a probability process model that may be used to identify the probability of outcomes compliant with behavior models defined in Monterey Phoenix (MP), with constraints added to the model.
The article of record as published may be found a http://doi.org/10.1109/SYSOSE.2017.7994961Published in: 2017 12th System of Systems Engineering Conference (SoSE); Date of Conference: 18-21 June 2017
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Nagashima, M.; Agrawal, B.N. (2012);For a large Adaptive Optics (AO) system such as a large Segmented Mirror Telescope (SMT), it is often difficult, although not impossible, to directly apply common Multi-Input Multi-Output (MIMO) controller design methods ...
Spin stabilization of the ORION satellite using a thruster attitude control system with optimal control considerations Cunningham, Janet L. (Naval Postgraduate School, 1989);The controlled system is the ORION satellite spinning about its single axis of symmetry. Hydrazine thrusters are used as the control and are modeled by ideal, constant magnitude step functions. The system is normalized and ...
Pugliese, Antonio; Enos, James; Nilchiani, Roshanak (Monterey, California. Naval Postgraduate School, 2018-04-30); SYM-AM-18-165The approach of the Department of Defense (DoD) to acquisition programs is strongly based on systems engineering. DoD Directive 5000.01 calls for "the application of a systems engineering approach that optimizes total ...