The real time, output-only, and joint input–parameter–state estimation capabilities of a new residual-based Kalman filter (RKF) are examined herein with respect to limited information conditions. is based on the residual predicted measured dynamic state output, as well system model estimation. considered sensitivity analysis developed using time matrix formulated by filtered states. Without los...

We present four experiments with summary evaluation approaches that use little or no human input in the form of model summaries or human judgements. We investigate whether system-produced summaries can be used to improve predictions of summary quality when few or no human summaries are available. We also validate our previous findings that measures of input-summary similarity and input cohesive...

a memory control for t-s fuzzy discrete-time systems with sto- chastic input delay is proposed in this paper. dierent from the common assumptions on the time delay in the existing literatures, it is assumed in this paper that the delays vary randomly and satisfy some probabilistic dis- tribution. a new state space model of the discrete-time t-s fuzzy system is derived by introducing some stocha...

This paper obtains a measure-theoretic restriction that must be satisfied by prior probability measure for posteriors to computed in limited time. Specifically, it is shown the factorizable. Factorizability set of independence conditions events sample space allows agents calculate using only subset dataset. The result has important implications models mathematical economics and finance rely on ...