scholarly journals iDiSC: A New Approach to IoT-Data-Intensive Service Components Deployment in Edge-Cloud-Hybrid System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 59172-59184 ◽  
Author(s):  
Xiaowei Chen ◽  
Songtao Tang ◽  
Zhihui Lu ◽  
Jie Wu ◽  
Yucong Duan ◽  
...  
Author(s):  
Chalandi Hanene ◽  
Ben Slimane Jihane ◽  
Ksouri Moufida

<p>We focused in this work on a fault tolerant control of a non linear hybrid system class based on diagnosis method (determine and locate the defects and their types) and on the faults reconfiguration method.In literature we can found many important research activities over the fault-tolerant control of non linear systems and linear Hybridsystems. But it dosen´t exist too many for the non linear hybridsystem.The main idea in this paper is to consider a new approach to improve the reconfiguration performance of the non linear hybrid system by using hammerstein method which is designed to works only for linear systems. This method compensated the effect of the faults and guarantees the closed-loop system stable. The proposed method is simulated with a hydraulic system of two tanks with 4 modes.</p>


Author(s):  
Chalandi Hanene ◽  
Ben Slimane Jihane ◽  
Ksouri Moufida

<p>We focused in this work on a fault tolerant control of a non linear hybrid system class based on diagnosis method (determine and locate the defects and their types) and on the faults reconfiguration method.In literature we can found many important research activities over the fault-tolerant control of non linear systems and linear Hybridsystems. But it dosen´t exist too many for the non linear hybridsystem.The main idea in this paper is to consider a new approach to improve the reconfiguration performance of the non linear hybrid system by using hammerstein method which is designed to works only for linear systems. This method compensated the effect of the faults and guarantees the closed-loop system stable. The proposed method is simulated with a hydraulic system of two tanks with 4 modes.</p>


Author(s):  
Wolfgang Mueller ◽  
Bernd Kleinjohann

Abstract Most engineering tasks are highly data intensive coping with the increasing complexity of systems. Gigabytes of heterogeneous engineering data have to be managed consistently by a huge array of tools. This necessitates sophisticated integration techniques based on a common database management system in order to decrease the amount of data that have to be exchanged between these tools. In this paper we present a new approach to distributed design frameworks, integrating graphical as well as text processing tools. Tools may online share the same graphical and logical data synchronized by the event mechanism of an object management system. The synchronization concept is based on a tight integration into an object-oriented object management system and provides means to keep the graphical views of multiple agents consistent. We outline these concepts by the example of an integrated EXPRESS modeling workbench.


Author(s):  
Francesco Ghigliazza ◽  
Alberto Traverso ◽  
Mario L. Ferrari ◽  
John Wingate

The Multi-Purpose Model represents a new methodology for developing model based tools for control system design and verification. The Multi-Purpose Model, as described in this paper, simulates a SOFC hybrid system — a challenging and innovative application of dynamic modelling and control. Real-time modelling is a recognised approach to monitor advanced systems and to improve control capabilities. Applications of Real-Time (RT) models are commonly used in the automotive and aerospace fields. Starting from existing TRANSEO components and models, a new approach to fit hybrid system application has been developed. Original C-based models have been translated into embedded Matlab functions for direct use within Matlab-Simulink. The resulting models have then been used to autogenerate c-code with the Real-Time Workshop. The C-code has then been compiled to produce application specific executables.


2010 ◽  
Vol 35 (1) ◽  
pp. 128-137 ◽  
Author(s):  
Luis Arribas ◽  
Luis Cano ◽  
Ignacio Cruz ◽  
Montserrat Mata ◽  
Ermen Llobet

2015 ◽  
Vol 26 (9) ◽  
pp. 1855-1874 ◽  
Author(s):  
Yimin Yang ◽  
Yaonan Wang ◽  
Q. M. Jonathan Wu ◽  
Xiaofeng Lin ◽  
Min Liu

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