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Numerical interval simulation: Combined qualitative and quantitative simulation to bound behaviors of non-monotonic systems. A generic method for computing the response of a numerically-known dynamic system to qualitative inputs. 37 x i (t) < x i (t) in which case there must be some time t 1 < t such that x i (t 1) = x i (t 1), or x i (t) = x i (t). Assume(More)
While model-based process monitoring and system identiication share the common goal of describing the behavior of a physical system based on a mathematical model, the assumptions made by system identiication are typically too strong to apply it directly to monitoring problems. This article describes SQUID, a new system identiication method that uses(More)
System identification takes a space of possible models and a stream of observational data of a physical system, and attempts to identify the element of the model space that best describes the observed system. In traditional approaches, the model space is specified by a parameterized differential equation, and identification selects numerical parameter(More)
  • H Kay
  • 1983
It is never easy to assess accurately the vision of an illiterate child. Children under the age of 3 who are unable to understand and co-operate with tests using shapes and a key card present an even greater problem. All available subjective tests for this age group may maintain a small child's interest, but the accuracy of the recorded vision is very much(More)
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