Skip to main content
Conference Proceedings

Adaptive neural control of nonlinear systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2001) 2130 930-936
DOI: 10.1007/3-540-44668-0_128
16Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The aim of the present paper is to integrate a recurrent neural network in two schemes of real-time soft computing neural control. There are applied the following control schemes: an indirect and a direct trajectory tracking control, using the state and parameter information, given by an identification recurrent neural network.

Cite

CITATION STYLE

APA

Baruch, I., Flores, J. M., Thomas, F., & Garrido, R. (2001). Adaptive neural control of nonlinear systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2130, pp. 930–936). Springer Verlag. https://doi.org/10.1007/3-540-44668-0_128

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free