Rudolf E. Kálmán

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Target tracking is often complicated by the measurement noise. The noise must be " filtered " out in order to predict the true path of a moving target. In this study of linear filtering, the Kalman filter, a recursive linear filtering model, was used to estimate tracks. Various situations were examined, including maneuvering targets, multiple radars,(More)
Istituto \Asinius Pollio" 1. Overview Randomness, in some intuitive sense, is all around us in the real world. Hence it is the proper object of scientiic study. In two recent publications (Kalman 8, 9]) we have argued that a scientiic study of randomness (never really undertaken before) should begin by separating the intuitive concept of \random" from any(More)
In this paper, we propose a fuzzy case-based reasoning system, using a case-based reasoning (CBR) system that learns from experience to solve problems. Different from a traditional case-based reasoning system that uses crisp cases, our system works with fuzzy ones. Specifically, we change a crisp case into a fuzzy one by fuzzifying each crisp case element(More)
When a pair of nuclear-powered Russian submarines was reported patrolling off the eastern seaboard of the U.S. last summer, Pentagon officials expressed wariness over the Kremlin's motivations. At the same time, these officials emphasized their confidence in the U.S. Navy's tracking capabilities: " We've known where they were, " a senior Defense Department(More)
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