A Time-Delay Nonlinear Model of Dopamine-Modulated Prefrontal-Limbic Interactions in Schizophrenia

2020 ◽  
pp. 193-201
Author(s):  
Eva Kaslik ◽  
Mihaela Neamţu ◽  
Anca Rădulescu
Keyword(s):  
Time Delay ◽  
Nonlinear Model

scholarly journals Nonlinear Time-Delay Suspension Adaptive Neural Network Active Control

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Yue Zhu ◽  
Sihong Zhu
Keyword(s):  
Neural Network ◽  
Time Delay ◽  
Nonlinear Model ◽  
Active Suspension ◽  
Control Input ◽  
Adaptive Neural Network ◽  
Neural Network Structure ◽  
Stiffness Characteristics ◽  
Magneto Rheological ◽  
And Training

Considering the time-delay in control input channel and the nonlinear spring stiffness characteristics of suspension, a quarter-vehicle magneto rheological active suspension nonlinear model with time-delay is established in this paper. Based on the time-delay nonlinear model, an adaptive neural network structure for magneto rheological active suspension is presented. By recognizing and training the adaptive neural network, the adaptive neural network active suspension controller is obtained. Simulation results show that the presented method can guarantee that the quarter-vehicle magneto rheological active suspension system has satisfying performance on the E_level very poor ground.

TIME-DELAY FEEDBACK CONTROL OF COMPLEX PATHOLOGICAL RHYTHMS IN AN ATRIOVENTRICULAR CONDUCTION MODEL

2000 ◽  
Vol 10 (12) ◽  
pp. 2781-2784 ◽  
Author(s):  
MICHAEL E. BRANDT ◽  
GUANRONG CHEN
Keyword(s):  
Time Delay ◽  
Measurement Error ◽  
Feedback Control ◽  
Fixed Points ◽  
Nonlinear Model ◽  
Linear Time ◽  
Conduction System ◽  
Atrioventricular Conduction ◽  
Conduction Model ◽  
Delay Feedback Control

We describe the emergence of complex cardiac rhythms in a nonlinear model of the atrioventricular (AV) nodal conduction system, and a method based on linear time-delay feedback (LTDF) control for suppressing them. The LTDF controller is effective at suppressing these rhythms by stabilizing the map to one of a set of unstable fixed points. Additionally, we show that the method is robust to both measurement error and experimental noise.

Determination and modelling of the formative and statistical time delay in neon

2007 ◽  
Vol 38 (1) ◽  
pp. 73-78 ◽  
Author(s):  
V. Lj. Marković ◽  
S. N. Stamenković ◽  
S. R. Gocić ◽  
S. M. Durić
Keyword(s):  
Time Delay ◽  
Statistical Time
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