Context Aware Control Systems: An Engineering Applications Perspective

Abstract

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;

Impedance Spectroscopy Sensing Material Properties for Self-Tuning Ratio Control in Pharmaceutical Industry

“…Using mapping as that given in Figure 9, adaptation to context variations in terms of material properties can be done. Context-aware control is a major trend in current engineering applications, and the pharmaceutical industry offers a great opportunity to pick up emerging solutions from more established fields of control applications [16].…”

“…It is also important to understand the physical meaning of the semi-circle, directly linked with the system's characteristic. For very high frequency the imaginary part in (16), which can be approximated as Z −1/ωC d , becomes very small, behaving like a short-circuit. The peak value of the semi-circle is instead reached for the maximum of −Z in the frequency responsible for the time response (and this results in pole locations of the transfer function of the linear approximated system).…”

“…In short, the production thereof is a complex multivariable process and (intermediate) material properties variability can have important implications on the efficiency of the production process (e.g., changes in powder stickiness or mixture viscosity). Hence optimal control of production efficiency and product properties are essential to guarantee a manufacturing process that is adaptive while maintaining (semi-)finite product quality at all times [16,17].…”

Minds Think Alike: How Do Food Delivery Mobile Applications Innovate Consumer Service

“…U&G studies on mobile apps indicated that the significant perceived gratification factors are included sociability (Ku et al, 2013), entertainment (Pelletier et al, 2020), immediate access (Shukla et al, 2020), and mobility (Diaz et al, 2020;Ray et al, 2019). Additionally, some studies have used the U&G theory to study needs and fulfillment.…”

Perspectives on Hybrid Control of the Anesthesia-Hemodynamic System in the Pandemic Context

“…This process is empowered by adaptable cyber-physical systems (CPSs), that use communication infrastructure in order to integrate computation and physical entities [2]. CPSs allow semi-independent or independent execution of advanced tasks, built on dynamical contextawareness at different scales in the physical world [3].…”