Abstract: All classical acceptance sampling plans were constructed with the proportion of defective that is crisp value. In the manufacturing processes, this parameter in a production lot may not be precis ely known. Hence it is meaningful to treat such parameter as fuzzy quantities. In this paper we have argued for the acceptance double sampling plan when the proportion of defective items is a...

Reinforcement learning studies how to balance exploration and exploitation in realworld systems, optimizing interactions with the world while simultaneously learning how the world works. One general class of algorithms for such learning is the multiarmed bandit setting (in which sequential interactions are independent and identically distributed) and the related contextual bandit case, in which...

A disadvantage of double-samplingΣ∆ ADC’s is their sensitivity to path mismatch. Recently, an approach to solve this problem was presented. It consists of modifying the noise transfer function (NTF) of the modulator such that it has a zero at the Nyquist frequency, next to those in the baseband. Unfortunately, no systematic design strategy for such ADC’s is available. In this work, we present s...

A novel charge-based comparator and folding circuit are presented. Correlated double sampling comparison is performed using a log-domain integrator, implemented by a subthreshold MOS transistor with the source coupled to a capacitor. The circuit produces a current that is a logistic function of the change in voltage on the gate, with an input-referred offset voltage that is a logarithmic functi...

<abstract><p>This article considers a consensus problem of multiagent systems with double integrator dynamics under nonuniform sampling. In the considered problem, maximum sampling time can be selected arbitrarily. Moreover, communication graph change to any possible topology as long its associated Laplacian has eigenvalues in an arbitrarily region. Existence controller that ensures...