Modern manufacturing firms are more inclining to promote the product quality, save costs
and reduce times of product design by both collaborative designing and model reuse. If CAD …

In this paper we provide a general approach for the concepts and processes related to the
generation of linguistic descriptions of time series. As we will see, this approach consists of …

This article addresses the fault estimation problem for continuous‐time periodic piecewise T‐
S fuzzy systems affected by both faults and disturbances for the first time. Rather than …

This paper proposes a method to linguistically summarise the local periodic components of
a time series: it identifies subparts of the data which are periodic, together with their …

Self-tracking our physical activity allows us to acquire a better self-knowledge about our
physical, and even mental health condition. Currently, the description of the time series …

Time series (TSs) are usually represented numerically; however, there are many situations
where a linguistic description is preferable. Granular linguistic model of phenomena (GLMP) …

Classifying walking patterns helps the diagnosis of health status, disease progression and
the effect of interventions. In this paper, we develop previous research on human gait to …

The level of physical activity is one of the most important parameters to monitor the evolution
of some physical and mental disorders, eg, obesity or depression. Its continuous monitoring …

This paper presents a new method to automatically obtain linguistic descriptions from a
multivariate time series. The first step consists of the induction from the multivariate time …

Dynamic systems with self-excited periodic motion have a wide range of applications in
mechanical systems. For instance, a class of non-minimum phase underactuated and …