On the new method for the control of discrete nonlinear dynamic systems using neural networks

Author

Deng, Hua ; Li, Han-Xiong

Author_Institution

Coll. of Mech. & Electr. Eng., Central South Univ., Changsha, China

Volume

17

Issue

2

fYear

2006

fDate

3/1/2006 12:00:00 AM

Firstpage

526

Lastpage

529

Abstract

This correspondence points out an incorrect statement in Adetona et al., 2000, and Adetona et al., 2004, about the application of the proposed control law to nonminimum phase systems. A counterexample shows the limitations of the control law and, furthermore, its control capability to nonminimum phase systems is explained.

Keywords

discrete systems; neurocontrollers; nonlinear dynamical systems; discrete nonlinear dynamic systems control; neural networks; nonminimum phase systems; Control system synthesis; Control systems; Difference equations; Linear approximation; Manufacturing; Neural networks; Nonlinear control systems; Radial basis function networks; Research and development management; Trajectory; Approximate models; neural networks; nonlinear control; nonminimum phase; Algorithms; Artificial Intelligence; Computer Simulation; Feedback; Models, Theoretical; Neural Networks (Computer); Nonlinear Dynamics; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/TNN.2006.871723

Filename

1603638