A Dynamic Graph-Based Systems Framework for Modeling, and Control of Cyber-Physical Systems Typified by Buildings

10.5772/intechopen.98657 ◽

2021 ◽

Author(s):

Fadel M. Lashhab

Keyword(s):

Dynamic System ◽

Cyber Physical Systems ◽

Dynamic Graph ◽

Modeling And Control ◽

Consensus Network ◽

Physical Systems ◽

Heat Flows ◽

Graph Theoretic ◽

And Control ◽

Systems Framework

In this chapter, we present a framework for modeling certain classes of cyber-physical systems using graph-theoretic thinking. The cyber-physical systems we consider are typified by buildings. We show that the thermal processes associated with a building can be represented as a graph in which (1) the node variables (temperature and heat flows) are governed by a dynamic system and (2) interconnections between these nodes (walls, doors, windows) are also described by a dynamic system. In general, we call a collection of such nodes and interconnections a dynamic graph (dynamic consensus network).Driven to explore this by developing thermal examples, this study outlines a practical framework for dynamic consensus networks and dynamic graphs. In a manner that seamlessly extends these concepts from the static cases, we will explore the combination of dynamic degrees, adjacency, Laplacian matrices, and incident matrices. With these conceptual tools, one can quickly identify equivalent concepts of dynamic consensus networks.

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A Cyber–Physical Systems Approach to Data Center Modeling and Control for Energy Efficiency

Proceedings of the IEEE ◽

10.1109/jproc.2011.2161244 ◽

2012 ◽

Vol 100 (1) ◽

pp. 254-268 ◽

Cited By ~ 104

Author(s):

Luca Parolini ◽

Bruno Sinopoli ◽

Bruce H. Krogh ◽

Zhikui Wang

Keyword(s):

Energy Efficiency ◽

Data Center ◽

Systems Approach ◽

Cyber Physical Systems ◽

Modeling And Control ◽

Physical Systems ◽

And Control

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Modeling and control of Cyber-Physical Systems subject to cyber attacks: A survey of recent advances and challenges

Neurocomputing ◽

10.1016/j.neucom.2019.01.099 ◽

2019 ◽

Vol 338 ◽

pp. 101-115 ◽

Cited By ~ 34

Author(s):

Magdi S. Mahmoud ◽

Mutaz M. Hamdan ◽

Uthman A. Baroudi

Keyword(s):

Cyber Physical Systems ◽

Cyber Attacks ◽

Modeling And Control ◽

Physical Systems ◽

Recent Advances ◽

And Control

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Cyber-Physical Systems Framework for Smart Built-Environments

Technological Developments in Industry 4.0 for Business Applications - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-5225-4936-9.ch006 ◽

2019 ◽

pp. 129-148 ◽

Cited By ~ 1

Author(s):

Yaseen Srewil ◽

Raimar J. Scherer

Keyword(s):

Systems Approach ◽

Cyber Physical Systems ◽

Control Flow ◽

Built Environments ◽

Physical Systems ◽

Building Models ◽

Data Capturing ◽

And Control ◽

Systems Framework ◽

Physical Construction

Cyber-physical systems (CPS) can be seen as digitally-driven technological fusions of physical, spatial and virtual models. Thereby, the construction entities, locations and processes are tightly linked to the digital building models (BIM) using automated data capturing (ADC) solutions. This chapter focuses on the challenge of modelling a cyber–physical systems approach for constructing domains in order to effectively exploit the computation, control and communication capabilities. Pairing BIM and ADC technologies offers an adequate solution bridging the information gaps and promoting the collaboration among digital, spatial and physical construction entities. The results are cyber-physical objects (CPOs) at a level of “smartness” that provides enhancement of digital capabilities and the ability of context-awareness. These hybrid objects of digital equivalents and physical entities can be embedded in the construction and logistics processes in order to track progress and monitor the construction site activities and control flow close to real-time.

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