Piecewise affine neural networks and nonlinear control: stability results

1999 ◽  
Author(s):  
C.-A. Lehalle
Keyword(s):  
Neural Networks ◽  
Nonlinear Control ◽  
Piecewise Affine ◽  
Control Stability ◽  
Stability Results

scholarly journals Embedded PWM Predictive Control of Dc-Dc Power Converters via Piecewise-Affine Neural Networks

2021 ◽  
pp. 1-1
Author(s):  
Emilio Tanowe Maddalena ◽  
Martin W. F. Specq ◽  
Viviane Louzada Wisniewski ◽  
Colin Neil Jones
Keyword(s):  
Neural Networks ◽  
Predictive Control ◽  
Power Converters ◽  
Piecewise Affine ◽  
Dc Power

New stability results for delayed neural networks

2017 ◽  
Vol 311 ◽  
pp. 324-334 ◽  
Author(s):  
Hanyong Shao ◽  
Huanhuan Li ◽  
Chuanjie Zhu
Keyword(s):  
Neural Networks ◽  
Delayed Neural Networks ◽  
Stability Results

scholarly journals Adaptive nonlinear control using input normalized neural networks

2008 ◽  
Vol 22 (6) ◽  
pp. 1073-1083 ◽  
Author(s):  
Henzeh Leeghim ◽  
In-Ho Seo ◽  
Hyochoong Bang
Keyword(s):  
Neural Networks ◽  
Nonlinear Control ◽  
Adaptive Nonlinear Control

scholarly journals On Stability of Nonautonomous Perturbed Semilinear Fractional Differential Systems of Order α∈(1,2)

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Mohammed M. Matar ◽  
Esmail S. Abu Skhail
Keyword(s):  
Neural Networks ◽  
Differential Equations ◽  
Fractional Order ◽  
Fractional Differential Equations ◽  
Protected Area ◽  
Marine Protected Area ◽  
Differential Systems ◽  
Fractional Differential Systems ◽  
Fractional Differential ◽  
Stability Results

We study the Mittag-Leffler and class-K function stability of fractional differential equations with order α∈(1,2). We also investigate the comparison between two systems with Caputo and Riemann-Liouville derivatives. Two examples related to fractional-order Hopfield neural networks with constant external inputs and a marine protected area model are introduced to illustrate the applicability of stability results.

Sign in / Sign up

Export Citation Format

Share Document