This paper presents a dynamic neural network implementation for the modeling and control design of a class of manufacturing systems. The evolution of the ...

This paper presents a dynamic neural network implementation for the modeling and control design of a class of manufacturing systems. The evolution of the ...

Typical reasons for simulation of a manufacturing system includes evaluating the capacity and equipment utilization, identifying bottlenecks in the system, ...

This research explores the use of neural networks to control several manufacturing systems in real-time operations: robot manipulators, tool changes, conveyor ...

We introduce an algorithm to automatically manipulate a neural network model (NNM), built using the meta-model and illustrate how manufacturers can leverage the ...

Lack of the physical models makes the design of a process controller difficult, and it is virtually impractical to use the conventional control methodologies.

This chapter presents different approaches where neural networks (NNs) have been successfully employed for the modeling and control of nonlinear dynamical ...

A dynamic implementation of manufacturing systems deduced from a modular approach of modeling using neural networks is described. An adaptive control is ...

From expert systems and neural networks, to fuzzy logic, this book addresses the latest developments in intelligent manufacturing.

The purpose of this chapter is to present some applications of artificial neural networks in manufacturing process monitoring and control, among which ...