Optimal control of inhibiting tumor, new approach to sufficient ε-optimality and numerical computation

2020 ◽  
Vol 80 (5) ◽  
pp. 778-789
Author(s):  
Anita Krawczyk ◽  
Andrzej Nowakowski
Keyword(s):  
Optimal Control ◽  
Numerical Computation ◽  
New Approach

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

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.

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