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Cyber-physical system

About: Cyber-physical system is a research topic. Over the lifetime, 11096 publications have been published within this topic receiving 162489 citations. The topic is also known as: CPS.


Papers
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Journal ArticleDOI
TL;DR: The challenges of understanding how to integrate people into a new generation of cyber-physical-human systems (CPHSs) are outlined and a human service capability description model is proposed to help.
Abstract: This article outlines the challenges of understanding how to integrate people into a new generation of cyber-physical-human systems (CPHSs) and proposes a human service capability description model to help.

113 citations

Journal ArticleDOI
TL;DR: The blockchainized IoM technology and the concepts of parallel society are described to contribute to the transition from the current social construct to a futuristic intelligent society in China.
Abstract: This paper is to discuss the state, trend, and frontiers of development of cyber-physical-social systems (CPSSs) in China. The demand for developing CPSS is discussed in detail, followed by the Artificial societies, Computational experiments, Parallel execution (ACP) approach for CPSS and knowledge automation. The development of ACP based on CPSS in transportation, energy, information, Internet of Things, and Internet of Minds (IoM) is discussed to demonstrate the cutting-edge applications in CPSS. Finally, the blockchainized IoM technology and the concepts of parallel society are described. This paper will contribute to the transition from the current social construct to a futuristic intelligent society.

113 citations

Journal ArticleDOI
TL;DR: This paper proposes a novel game-theoretical decision-making scheme for electricity retailers in the smart grid using real-time pricing DSM, and model and analyze the interactions between the retailer and electricity customers as a four-stage Stackelberg game.
Abstract: The smart grid is becoming one of the fundamental cyber-physical systems due to the employment of information and communication technology. In the smart grid, demand-side management (DSM) based on real-time pricing is an important mechanism for improving the reliability of the grid. Electricity retailers in the smart grid can procure electricity from various supply sources, and then sell it to the customers. Therefore, it is critical for retailers to make effective procurement and price decisions. In this paper, we propose a novel game-theoretical decision-making scheme for electricity retailers in the smart grid using real-time pricing DSM. We model and analyze the interactions between the retailer and electricity customers as a four-stage Stackelberg game. In the first three stages, the electricity retailer, as the Stackelberg leader, makes decisions on which electricity sources to procure electricity from, how much electricity to procure, and the optimal retail price to offer to the customers, to maximize its profit. In the fourth stage, the customers, who are the followers in the Stackelberg game, adjust their individual electricity demand to maximize their individual utility. Simulation results show that the retailer and customers can achieve a higher profit and higher utility using our proposed decision-making scheme. We also analyze how the system parameters affect the procurement and price decisions in the proposed decision-making scheme.

113 citations

Journal ArticleDOI
TL;DR: This paper aims to clarify the DT concept and differentiate it from other advanced 3D modeling technologies, digital shadows, and information systems, and recommends the development of DT applications that offer rapid and accurate data analysis platforms for real-time decisions, self-operation, and remote supervision requirements post-COVID-19.
Abstract: Construction projects and cities account for over 50% of carbon emissions and energy consumption Industry 4 0 and digital transformation may increase productivity and reduce energy consumption A digital twin (DT) is a key enabler in implementing Industry 4 0 in the areas of construction and smart cities It is an emerging technology that connects different objects by utilising the advanced Internet of Things (IoT) As a technology, it is in high demand in various industries, and its literature is growing exponentially Previous digital modeling practices, the use of data acquisition tools, human–computer–machine interfaces, programmable cities, and infrastructure, as well as Building Information Modeling (BIM), have provided digital data for construction, moni-toring, or controlling physical objects However, a DT is supposed to offer much more than digital representation Characteristics such as bi-directional data exchange and real-time self-management (e g , self-awareness or self-optimisation) distinguish a DT from other information modeling sys-tems The need to develop and implement DT is rising because it could be a core technology in many industrial sectors post-COVID-19 This paper aims to clarify the DT concept and differentiate it from other advanced 3D modeling technologies, digital shadows, and information systems It also intends to review the state of play in DT development and offer research directions for future investigation It recommends the development of DT applications that offer rapid and accurate data analysis platforms for real-time decisions, self-operation, and remote supervision requirements post-COVID-19 The discussion in this paper mainly focuses on the Smart City, Engineering and Construction (SCEC) sectors © 2021 by the author Licensee MDPI, Basel, Switzerland

112 citations

Book ChapterDOI
06 Jul 2016
TL;DR: This work proposes a conceptual model for uncertainty specifically designed for CPS, derived in a large part by reviewing existing work on uncertainty in other fields, including philosophy, physics, statistics, and healthcare.
Abstract: Uncertainty is intrinsic in most technical systems, including Cyber-Physical Systems CPS. Therefore, handling uncertainty in a graceful manner during the real operation of CPS is critical. Since designing, developing, and testing modern and highly sophisticated CPS is an expanding field, a step towards dealing with uncertainty is to identify, define, and classify uncertainties at various levels of CPS. This will help develop a systematic and comprehensive understanding of uncertainty. To that end, we propose a conceptual model for uncertainty specifically designed for CPS. Since the study of uncertainty in CPS development and testing is still irrelatively unexplored, this conceptual model was derived in a large part by reviewing existing work on uncertainty in other fields, including philosophy, physics, statistics, and healthcare. The conceptual model is mapped to the three logical levels of CPS: Application, Infrastructure, and Integration. It is captured using UML class diagrams, including relevant OCL constraints. To validate the conceptual model, we identified, classified, and specified uncertainties in two distinct industrial case studies.

111 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023831
20221,955
20211,283
20201,586
20191,576
20181,441