DTIC ADA583474: State Estimation of Non monotonic pdf

DTIC ADA583474: State Estimation of Non monotonic

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This report describes a technique for assessing the state of a general-purpose system using partial probing. The technique utilizes an Unscented Kalman Filter (UKF) combined with in-process and post-process reasoning. While Kalman Filters (KF) Extended Kalman Filres (EKF), and UKF are typically applied to state-space systems, where an underlying theory provides the a-priori knowledge, this report suggests the application of UKF to monitor general-purpose software systems that do not have an underlying first-principles theory. The suggested technique uses a reasoning component compute the a-priori evaluation. An important aspect differentiating state-space systems from general-purpose software is that the latter is often concurrent, with a plurality or concurrently executing threads, processes, or devices. As a result, relative execution time of these components (and the derivative state space) is for all intents and purposes non-deterministic. In addition, the suggested technique enables monitoring with probing that is sparse in time and space namely, probing that occurs only one in n cycles or probing that only probes a subset of the software-systems state-space

• Creator/s: Defense Technical Information Center
• Date: 1/1/2013
• Year: 2013
• Book Topics/Themes: DTIC Archive, , NAVAL POSTGRADUATE SCHOOL MONTEREY CA, *COMPUTER PROGRAMS, ESTIMATES, KALMAN FILTERING, LOGIC, PROBES, REASONING

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