Designing Self-Adaptive Embedded Real-Time Software -- Towards System Engineering of Self-Adaptation

2014 ◽  
Author(s):  
Franz J. Rammig ◽  
Stefan Grosbrink ◽  
Katharina Stahl ◽  
Yuhong Zhao
Keyword(s):  
Real Time ◽  
System Engineering ◽  
Self Adaptation ◽  
Self Adaptive

A Two-Layer Approach to Developing Self-Adaptive Multi-Agent Systems in Open Environment

2014 ◽  
Vol 6 (1) ◽  
pp. 65-85 ◽  
Author(s):  
Xinjun Mao ◽  
Menggao Dong ◽  
Haibin Zhu
Keyword(s):  
Reinforcement Learning ◽  
Adaptive Systems ◽  
Multi Agent Systems ◽  
Uncertain Environments ◽  
Implementation Framework ◽  
Fine Grain ◽  
Adaptation Mechanisms ◽  
Multi Agent ◽  
Self Adaptation ◽  
Self Adaptive

Development of self-adaptive systems situated in open and uncertain environments is a great challenge in the community of software engineering due to the unpredictability of environment changes and the variety of self-adaptation manners. Explicit specification of expected changes and various self-adaptations at design-time, an approach often adopted by developers, seems ineffective. This paper presents an agent-based approach that combines two-layer self-adaptation mechanisms and reinforcement learning together to support the development and running of self-adaptive systems. The approach takes self-adaptive systems as multi-agent organizations and enables the agent itself to make decisions on self-adaptation by learning at run-time and at different levels. The proposed self-adaptation mechanisms that are based on organization metaphors enable self-adaptation at two layers: fine-grain behavior level and coarse-grain organization level. Corresponding reinforcement learning algorithms on self-adaptation are designed and integrated with the two-layer self-adaptation mechanisms. This paper further details developmental technologies, based on the above approach, in establishing self-adaptive systems, including extended software architecture for self-adaptation, an implementation framework, and a development process. A case study and experiment evaluations are conducted to illustrate the effectiveness of the proposed approach.

scholarly journals Toward a Real-Time Reconfiguration of Self-Adaptive Smart Assembly Systems

2019 ◽  
Vol 39 ◽  
pp. 90-97 ◽  
Author(s):  
Marco Bortolini ◽  
Riccardo Accorsi ◽  
Maurizio Faccio ◽  
Francesco Gabriele Galizia ◽  
Francesco Pilati
Keyword(s):  
Real Time ◽  
Assembly Systems ◽  
Smart Assembly ◽  
Self Adaptive

Real-time self-adaptive calibration method for high speed acquisition system

2019 ◽  
Vol 90 (1) ◽  
pp. 015118 ◽  
Author(s):  
Hao Zeng ◽  
Peng Ye ◽  
Wentao Wei ◽  
Lianping Guo ◽  
Huiqing Pan ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Calibration Method ◽  
Acquisition System ◽  
Adaptive Calibration ◽  
Self Adaptive

A study of azimuthal electromagnetic wave LWD based on self-adaptive hp finite element method

2018 ◽  
Vol 32 (34n36) ◽  
pp. 1840073
Author(s):  
Hui Li ◽  
Yi-Bo Jiang ◽  
Jian-Wen Cai
Keyword(s):  
Numerical Simulation ◽  
Finite Element Method ◽  
Finite Element ◽  
Electromagnetic Wave ◽  
Real Time ◽  
Simulation Results ◽  
Peak Value ◽  
Element Method ◽  
Self Adaptive ◽  
Hp Finite Element

Azimuthal electromagnetic wave logging-while-drilling (LWD) technology can detect weak electromagnetic wave signal and realize real-time resistivity imaging. It has great values to reduce drilling cost and increase drilling rate. In this paper, self-adaptive hp finite element method (FEM) has been used to study the azimuthal resistivity LWD responses in different conditions. Numerical simulation results show that amplitude attenuation and phase shift of directional electromagnetic wave signals are closely related to induced magnetic field and azimuthal angle. The peak value and polarity of geological guidance signals can be used to distinguish reservoir interface and achieve real-time geosteering drilling. Numerical simulation results also show the accuracy of the self-adaptive hp FEM and provide physical interpretation of peak value and polarity of the geological guidance signals.

Self‐Adaptive Calibration of Real‐Time Demand and Roughness of Water Distribution Systems

2018 ◽  
Vol 54 (8) ◽  
pp. 5536-5550 ◽  
Author(s):  
Xiao Zhou ◽  
Weirong Xu ◽  
Kunlun Xin ◽  
Hexiang Yan ◽  
Tao Tao
Keyword(s):  
Real Time ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Adaptive Calibration ◽  
Self Adaptive
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