A new approach to molecular classical optimal control: Application to the reaction HCN→HC+N

1995 ◽  
Vol 102 (1) ◽  
pp. 226-236 ◽  
Author(s):  
Jair Botina ◽  
Herschel Rabitz ◽  
Naseem Rahman
Keyword(s):  
Optimal Control ◽  
New Approach ◽  
Control Application

scholarly journals Method of evolving junctions: A new approach to optimal control with constraints

Automatica ◽  
2017 ◽  
Vol 78 ◽  
pp. 72-78 ◽  
Author(s):  
Wuchen Li ◽  
Jun Lu ◽  
Haomin Zhou ◽  
Shui-Nee Chow
Keyword(s):  
Optimal Control ◽  
New Approach

Quantum Computing Implemented via Optimal Control: Application to Spin and Pseudospin Systems

2016 ◽  
pp. 643-668
Author(s):  
Thomas Schulte‐Herbrüggen ◽  
Andreas Spörl ◽  
Raimund Marx ◽  
Navin Khaneja ◽  
John Myers ◽  
...  
Keyword(s):  
Optimal Control ◽  
Quantum Computing ◽  
Control Application

scholarly journals USING DYNAMIC NEURAL NETWORKS TO GENERATE CHAOS: AN INVERSE OPTIMAL CONTROL APPROACH

2001 ◽  
Vol 11 (03) ◽  
pp. 857-863 ◽  
Author(s):  
EDGAR N. SANCHEZ ◽  
JOSE P. PEREZ ◽  
GUANRONG CHEN
Keyword(s):  
Neural Networks ◽  
Optimal Control ◽  
Chaotic Attractors ◽  
Control Law ◽  
Inverse Optimal Control ◽  
Dynamic Neural Network ◽  
Dynamic Neural Networks ◽  
New Approach ◽  
Control Approach ◽  
Optimal Control Approach

This Letter suggests a new approach to generating chaos via dynamic neural networks. This approach is based on a recently introduced methodology of inverse optimal control for nonlinear systems. Both Chen's chaotic system and Chua's circuit are used as examples for demonstration. The control law is derived to force a dynamic neural network to reproduce the intended chaotic attractors. Computer simulations are included for illustration and verification.

Sign in / Sign up

Export Citation Format

Share Document