Recent advances and applications in neural networks and intelligent control

Intelligent control and neural networks have dramatically changed the face of control engineering. This special issue of Neurocomputing presents several recent methods in how to design intelligent identifiers and controllers via neural networks, neural fuzzy systems, and advanced control techniques. A variety of applications, in the areas of robotics, mechatronics, and others process control are also included. This special issue presents 11 original articles, which are extended versions of selected papers from the 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2015), October 26−30, 2015, Mexico City, Mexico. The conference has received 146 submissions. Each submission is reviewed by at least 2 independent reviewers. 110 papers are accepted by the conference. 13 of them are suggested by the program committee for this special issue. The extended versions of these papers are reviewed by the other two rounds. At least 60% extra materials over the original versions are mandatory. Finally, the 11 articles presented in this issue were accepted for publication.