A Conceptual Model for Mitigation of Root Causes of Uncertainty in Cyber-Physical Systems

2021 ◽  
pp. 9-17
Author(s):  
Mah Noor Asmat ◽  
Saif Ur Rehman Khan ◽  
Atif Mashkoor
Author(s):  
Man Zhang ◽  
Bran Selic ◽  
Shaukat Ali ◽  
Tao Yue ◽  
Oscar Okariz ◽  
...  

2019 ◽  
Vol 86 (3) ◽  
pp. 63-69
Author(s):  
O. L. Yershova ◽  
L. I. Bazhan

Scientific studies focused on search for ways of building and operating cyber-physical systems are important because integration of physical processes, devices and data by use of cyber-physical systems creates new capacities for control of the physical world, including devices, manufacturing facilities and infrastructures, and opens up new real perspectives for national economies. The object of the study is cyber-physical systems for solving the problems of intellectual control of physical objects. The study is conducted as a contribution in building up a conceptual model of the cyber-physical system’s interactions with the external environment. A generalized scheme of such interaction model is proposed with accounting for feedback, which positive role is that it enables for identification of disturbing impacts on the state of the physical environment, resulting in uncertainties of the latter’s operation. The main functions of feedback in a cyber-physical system is to help produce controlling impacts on a controlled object by use of intellectual control, due to compensating disturbances and maintaining the state of stable equilibrium of the system. Several existing approaches to building conceptual models of cyber-physical systems which interaction with the environment are two-dimensional: cybernetic and physical. The article’s objective is to build a model for taking a controlling decision in cybernetic systems. Its result is an elaborated generalized scheme for taking a controlling decision in such systems. This generalized scheme is based on the information model, which components are interaction of a cyber-physical system with objects of the physical environment, with other systems and a system of artificial intellect, and with the following processes: measuring and computing processes, controlling processes, and communication processes. The described information model helps eliminate the consequences of unpredictable behavior of a cyber-physical system. The presented results are a contribution in the studies on effective control of physical objects, actively elaborated today. Use of the proposed components of the conceptual model will enable to increase the effectiveness of system monitoring of the operation of a physical object given better justification of taken decisions.


Author(s):  
Okolie S.O. ◽  
Kuyoro S.O. ◽  
Ohwo O. B

Cyber-Physical Systems (CPS) will revolutionize how humans relate with the physical world around us. Many grand challenges await the economically vital domains of transportation, health-care, manufacturing, agriculture, energy, defence, aerospace and buildings. Exploration of these potentialities around space and time would create applications which would affect societal and economic benefit. This paper looks into the concept of emerging Cyber-Physical system, applications and security issues in sustaining development in various economic sectors; outlining a set of strategic Research and Development opportunities that should be accosted, so as to allow upgraded CPS to attain their potential and provide a wide range of societal advantages in the future.


Author(s):  
Curtis G. Northcutt

The recent proliferation of embedded cyber components in modern physical systems [1] has generated a variety of new security risks which threaten not only cyberspace, but our physical environment as well. Whereas earlier security threats resided primarily in cyberspace, the increasing marriage of digital technology with mechanical systems in cyber-physical systems (CPS), suggests the need for more advanced generalized CPS security measures. To address this problem, in this paper we consider the first step toward an improved security model: detecting the security attack. Using logical truth tables, we have developed a generalized algorithm for intrusion detection in CPS for systems which can be defined over discrete set of valued states. Additionally, a robustness algorithm is given which determines the level of security of a discrete-valued CPS against varying combinations of multiple signal alterations. These algorithms, when coupled with encryption keys which disallow multiple signal alteration, provide for a generalized security methodology for both cyber-security and cyber-physical systems.


Author(s):  
A. V. Smirnov ◽  
T. V. Levashova

Introduction: Socio-cyber-physical systems are complex non-linear systems. Such systems display emergent properties. Involvement of humans, as a part of these systems, in the decision-making process contributes to overcoming the consequences of the emergent system behavior, since people can use their experience and intuition, not just the programmed rules and procedures.Purpose: Development of models for decision support in socio-cyber-physical systems.Results: A scheme of decision making in socio-cyber-physical systems, a conceptual framework of decision support in these systems, and stepwise decision support models have been developed. The decision-making scheme is that cybernetic components make their decisions first, and if they cannot do this, they ask humans for help. The stepwise models support the decisions made by components of socio-cyber-physical systems at the conventional stages of the decision-making process: situation awareness, problem identification, development of alternatives, choice of a preferred alternative, and decision implementation. The application of the developed models is illustrated through a scenario for planning the execution of a common task for robots.Practical relevance: The developed models enable you to design plans on solving tasks common for system components or on achievement of common goals, and to implement these plans. The models contribute to overcoming the consequences of the emergent behavior of socio-cyber-physical systems, and to the research on machine learning and mobile robot control.


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