Title :
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
fDate :
3/1/2006 12:00:00 AM
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;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2006.871723
