Discrete-time flow control for connection-oriented communication network via reduced model

2013 ◽  
Author(s):  
P Baburaj ◽  
B Bandyopadhyay
Keyword(s):  
Communication Network ◽  
Flow Control ◽  
Discrete Time ◽  
Reduced Model ◽  
Time Flow

Discrete Linear Time Invariant Analysis of Digital Fluid Power Pump Flow Control

2017 ◽  
Vol 139 (10) ◽  
Author(s):  
Per Johansen ◽  
Daniel B. Roemer ◽  
Torben O. Andersen ◽  
Henrik C. Pedersen
Keyword(s):  
Flow Control ◽  
Discrete Time ◽  
Control Method ◽  
Linear Time ◽  
Linearization Method ◽  
Fluid Power ◽  
Linear Time Invariant ◽  
Pump Flow ◽  
Linear Control Theory ◽  
Time Linear

A fundamental part of a digital fluid power (DFP) pump is the actively controlled valves, whereby successful application of these pumps entails a need for control methods. The focus of the current paper is on a flow control method for a DFP pump. The method separates the control task concerning timing of the valve activation and the task concerning the overall flow output control. This enables application of linear control theory in the design process of the DFP pump flow controller. The linearization method is presented in a general framework and an application with a DFP pump model exemplifies the use of the method. The implementation of a discrete time linear controller and comparisons between the nonlinear model and the discrete time linear approximation shows the applicability of the control method.

Real-time flow control using neural networks

2000 ◽  
Vol 39 (1) ◽  
pp. 93-101 ◽  
Author(s):  
H.L Chan ◽  
A.B Rad
Keyword(s):  
Neural Networks ◽  
Flow Control ◽  
Real Time ◽  
Time Flow

scholarly journals MODEL OF HETEROGENEOUS LOCAL COMMUNICATION NETWORK WITH SYNCHRONOUS TIME ACCESS PROTOCOL, CONSIDERING THE RELIABILITY OF ITS ELEMENTS

T-Comm ◽  
2021 ◽  
Vol 15 (3) ◽  
pp. 25-29
Author(s):  
Elchin B. Gezalov ◽  
Keyword(s):  
Communication Network ◽  
Discrete Time ◽  
Communication Channel ◽  
Local Network ◽  
Access Protocol ◽  
Local Communication ◽  
Video Information ◽  
Synchronous Time ◽  
Incoming Message ◽  
Message Flow

In the article the local communication network, heterogeneous on the intensity of the incoming message flow and the type of messages, with synchronous time access protocol is considered. All communication stations of the considered local network consist of three substations: speech substations, video information substations and data substations. Speech substations form the speech subnet, video information substations form the video information subnet, and data substations form the data subnet. Substations within the same subnet are homogeneous in their activity. A model of the considered local network in discrete time is being carried out, which allows assessing the effect of the failure processes and restoration of substations of network stations and the communication channel on its characteristics. Based on the developed model of the local network, the probability-time characteristics of the considered network are selected and determined.

scholarly journals A TWO-STATE MODEL FOR NOISE-INDUCED RESONANCE IN BISTABLE SYSTEMS WITH DELAY

2005 ◽  
Vol 05 (02) ◽  
pp. 247-270 ◽  
Author(s):  
MARKUS FISCHER ◽  
PETER IMKELLER
Keyword(s):  
Discrete Time ◽  
Reference Model ◽  
Heuristic Method ◽  
State Model ◽  
Bistable System ◽  
Reduced Model ◽  
Effective Dynamics ◽  
Bistable Systems ◽  
Physics Literature ◽  
Two State Model

We discuss a simplified model for a symmetric bistable system with memory or delay, the reference model, which in the presence of noise, exhibits a phenomenon similar to what is known as stochastic resonance. The reference model is given by a one-dimensional parametrized stochastic differential equation with point delay, basic properties whereof we check. With the aim of capturing the effective dynamics and, in particular, the resonance-like behavior of the reference model, we construct a simplified or reduced model, the two-state model, first in discrete time, then in the limit of discrete time tending to continuous time. The main advantage of the reduced model is that it enables us to explicitly calculate the distribution of residence times which in turn can be used to characterize the phenomenon of noise-induced resonance. Drawing on what has been proposed in the physics literature, we outline a heuristic method for establishing the link between the two-state model and the reference model. The resonance characteristics developed for the reduced model can thus be applied to the original model.

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