Abstract
This technical note proposes a noise-Tolerant zeroing neural network (NTZNN) design formula, and shows how recurrent (and recursive) methods for solving time-varying problems can be designed from the viewpoint of control. The NTZNN design formula provides a control-Theoretic framework to deal with the convergence, stability and robustness issues of continuous-Time (and discrete-Time) models. NTZNN models derived from the proposed design formula demonstrate their advantages when applied to solving time-varying zero-finding problems in the presence of noises.
Original language | English |
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Article number | 7468512 |
Pages (from-to) | 992-997 |
Number of pages | 6 |
Journal | IEEE Transactions on Automatic Control |
Volume | 62 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Feb 2017 |
Keywords
- Control-Theoretic approach
- noise-Tolerant zeroing neural network (NTZNN)
- numerical methods
- time-varying problem solving
- zero-finding methods
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering