Adaptive model predictive control is applied to the control of consistency. The process model used for the control is updated on the basis of the operation conditions. The process gain is calculated by the mass balance equations or by using the preceding consistency measurement. The process dynamics is determined on the basis of the scheduling variable, i.e. the flow rate. The performance of th...

Existing web proxy caches employ cache consistency mechanisms to ensure that locally cached data is consistent with that at the server. In this paper, we argue that techniques for maintaining consistency of individual objects are not sufficient—a proxy should employ additional mechanisms to ensure that related web objects are mutually consistent with one another. We formally define the notion o...

Here we review the role of the Dirichlet process and related prior distribtions in nonparametric Bayesian inference. We discuss construction and various properties of the Dirichlet process. We then review the asymptotic properties of posterior distributions. Starting with the definition of posterior consistency and examples of inconsistency, we discuss general theorems which lead to consistency...