The global standards in the field of industrial automation are maintained in industries by
completely digitizing their manufacturing process with industry 4.0 standard. Internet of …

This paper presents a wavelet fuzzy neural network (WFNN) structure for identifying and
controlling nonlinear dynamic systems. The proposed WFNN is constructed on the base of a …

An adaptive predictive control with recurrent neural network prediction for industrial
processes is presented. The neural predictive control law with integral action is derived …

Recently, many plastic products have been produced and used. These plastic products are
mostly manufactured using injection molding machines. The quality of plastic products …

Manufacturing is the application of labor, tools, machines, chemical and biological
processing, to an original raw material by changing its physical and geometrical …

Motivated by the practical barrel-temperature control of injection molding, this paper
proposes two identification methods and a united control scheme for general temperature …

This paper presents a unique method that makes use of a small signal (of the magnitude of
microns) measured by a precision linear displacement transducer mounted on the outside of …

Polymer extrusion molding is an important process in the polymer manufacturing industry. It
is crucial to measure and control the temperature of polymer melt. Although different …

In present paper, a novel adaptive predictive control method is proposed for a class of
nonlinear systems via adaptive neuro-fuzzy inference system (ANFIS). In the proposed …

Most plastic parts are manufactured using an open-loop injection molding machine (IMM).
However, this process produces parts with poor dimensional precision and may result in …