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Context Aware Control Systems: An Engineering Applications Perspective
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DOI：10.1109/ACCESS.2020.3041357.png)
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Abstract
En 中文
Cyber-physical systems revolve around context awareness, empowering objective-oriented services, products and operations based on real data. Self-aware and self-control systems are core elements in the Industry 4.0 framework towards self-sustainable adaptive manufacturing and personalized services. This development is witnessed by the context-aware pervasive assistance to users and machines in decisions making process for optimizing product performance and economic yield. While integration of the virtual and the physical world entails smart sensors communication and complex data analytics, it relies on artificial intelligence tools to manage process operations. The objective of the article is to create awareness that systems & control community must address theoretical and practical aspects from a larger perspective. Context aware control is emerging as a natural solution to maximize the use of available sensing instrumentation and the relatively low cost data logging, i.e. an important source for extracting information, interpreting and using context information and adapt its functionality to the current context of use. This article presents a concise overview of applications where context aware systems and control methodologies are relevant in the seven societal challenges acknowledged by European policy-makers: Digital Society; Food; Health and Well-Being; Smart Resource Management; Urban Planning, Mobility Dynamics and Logistics; New Energy Demand and Delivery; and Society.
Keywords:
Context-aware services
Control systems
Middleware
Computer architecture
Context modeling
Mobile computing
Licenses
Self-sustainability
global economy
intelligent manufacturing systems
self-optimization
context estimation
adaptive control
context aware control
event-based control
deep learning
random forest
iterative learning control
digital twin
cyber physical systems
societal challenges
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