Noninstantaneous Impulsive Conformable Fractional Stochastic Delay Integro-Differential System with Rosenblatt Process and Control Function

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hamdy M. Ahmed
Keyword(s):  
Differential System ◽  
Control Function ◽  
Stochastic Delay ◽  
Rosenblatt Process ◽  
And Control

A POWER CONSUMPTION ACTIVITY BASED HETEROGENEOUS SOA FRAMEWORK FOR CONTEXT-AWARE HOME SERVICES

2011 ◽  
Vol 20 (07) ◽  
pp. 1211-1230 ◽  
Author(s):  
HYUN SANG CHO ◽  
TAKEKAZU KATO ◽  
TATSUYA YAMAZAKI ◽  
MINSOO HAHN
Keyword(s):  
Web Services ◽  
Power Consumption ◽  
Service Oriented Architecture ◽  
Control Function ◽  
Home Network ◽  
Network System ◽  
Context Aware ◽  
Flexible Architecture ◽  
And Control ◽  
Monitor And Control

The home network is one of the emerging areas from the last century. However, the growth of the home network market is stationary at present. This paper describes the limitations of the home network system and the requirements for overcoming the current limitations. Also described is a new home network service system known as COWS and its easy installation and scalable operation. COWS consists of power consumption monitor and control devices along with a service server that is a complementary combination of Open Service Gateway initiative (OSGi) and web services. A home network system has a dynamic, heterogeneous, distributed, and scalable topology. Service Oriented Architecture (SOA) has been proposed as a solution that satisfies the requirement of a home network, and OSGi and web services are two successful SOA-based frameworks. An included service server has a flexible architecture that consists of a core and extendable service packages. A power consumption monitor and control function provides useful context information for activity-based context-aware services and optimizes the power consumption. The system can be installed easily into existing and new houses to solve the current barrier of the popularization of home network services.

ROUTING IMPLEMENTATION BASED-ON SOFTWARE DEFINED NETWORK USING RYU CONTROLLER AND OPENVSWITCH

2016 ◽  
Vol 78 (5) ◽  
Author(s):  
Yuli Sun Hariyani ◽  
Indrarini Dyah Irawati ◽  
Danu Dwi S. ◽  
Mohammad Nuruzzamanirridha
Keyword(s):  
Control Function ◽  
Raspberry Pi ◽  
Small Scale ◽  
Software Defined Network ◽  
Standard Protocol ◽  
Open Flow ◽  
Control Functions ◽  
Forward Function ◽  
And Control ◽  
Sdn Controller

Open Flow is a standard protocol for differentiating forward function and control functions to facilitate the management of big network of SDN. The research have been carried out before using the emulator SDN Mininet. However Mininet has many shortcomings, such as the performance of which is less than the maximum due to simulation. Then some researchers also use the Net-FPGA as device. This device is less suitable for small scale because the prices are quite expensive and programming is quite complicated. In this study, SDN implementation carried out using OpenvSwitch as forwarding function mounted on TP-Link that has modificated using openwrt as firmware and Raspberry Pi with Ryu SDN Controller as control functions. The result shows that routing static can be implemented on SDN Network which use Raspberry Pi with Ryu Controller as control function with average bandwith 536.0909 Mbits/sec and average uptime network is 10.45 second.

scholarly journals Autonomic Nervous System Is Related to Inhibitory and Control Function Through Functional Inter-Region Connectivities of OFC in Major Depression

2020 ◽  
Vol Volume 16 ◽  
pp. 235-247 ◽  
Author(s):  
Hongaling Zhou ◽  
Lingling Hua ◽  
Haiteng Jiang ◽  
Zongpeng Dai ◽  
yinglin han ◽  
...  
Keyword(s):  
Nervous System ◽  
Autonomic Nervous System ◽  
Major Depression ◽  
Control Function ◽  
Autonomic Nervous ◽  
And Control

Collision Avoidance System Synthesis for a Group of Robots in Unsupervised Learning Paradigm

2020 ◽  
Vol 21 (7) ◽  
pp. 420-427
Author(s):  
A. V. Dotsenko
Keyword(s):  
Control System ◽  
Collision Avoidance ◽  
Nearest Neighbor ◽  
Control Function ◽  
Quality Criterion ◽  
Test Sample ◽  
Evolutionary Strategies ◽  
Joint Control ◽  
Current State ◽  
And Control

Collision avoidance is very important problem in the domain of multi-robot interaction. In this paper we propose a new approach of collision avoidance in the context of the optimal control system synthesis problem definition with minimal information available. It is assumed that robots have a certain scope within which they can interact with static and dynamic phase constraints. A group of robots is considered to be homogeneous, and control system unit for reaching terminal states already available to robots. The control system which is responsible for collision avoidance is only activated when the nearest neighbor is located in the scope of the considered robot. The first important feature of this work is the fact that the collision avoidance between two robots is reciprocal with joint control system, without assigning priorities. Another key feature of this work is the complete absence of information about the environment and the current state of other robots at given time. Robots only share information with nearest neighbors if they locate in the scope of each other. We also present a computational experiment with mobile robots as control objects. A multilayer perceptron was used to approximate the control function. Weights of the perceptron were optimized in unsupervised paradigm by an algorithm belonging to the evolutionary strategies class. At the beginning of each epoch we generate a sample of collision scenarios for optimization, while the quality criterion of the achieved weights at the end of epoch is evaluated on a fixed test sample. Experimental results demonstrate strong ability of the optimized multilayer perceptron to map the relative state of two mobile robots to controls in order to avoid collisions.

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