The efficient use of electrical energy is a topic that has attracted attention for its environmental consequences. On the other hand, induction motors represent the main component in most industries. They consume the highest energy percentages in industrial facilities. This energy consumption depends on the operation conditions of the induction motor imposed by its internal parameters. Since th...

Biochemical reaction networks are commonly described by non-linear ODE systems. Model parameters such as rate and equilibrium constants may be unknown or inaccessible and have to be identified from time-series measurements of chemical species. However, parameter identification is an ill-posed inverse problem in the sense that its solution lacks certain stability properties. In particular, model...

Complex network methodology is very useful for complex system exploration. However, the relationships among variables in complex systems are usually not clear. Therefore, inferring association networks among variables from their observed data has been a popular research topic. We propose a method, named small-shuffle symbolic transfer entropy spectrum (SSSTES), for inferring association network...

Industrial Personal Computer (IPC) is a highly customized product, which customers can take part in and have their requirements from design to manufacture and shipment. It requires lots of special parts and components, and causes more difficulty and cost increase in parts management. Configuration Management is one of the commonly used methods to resolve this problem. The first part in Configur...

Induction motor drives using field oriented control (FOC) for torque and flux control have been used in high performance industrial applications instead of dc motors for many years. In FOC, torque and flux of an induction motor can be controlled independently by decoupling the stator current into its orthogonal components. The FOC method has achieved a quick torque response. But in order to ach...