Monitoring, Learning and Control of Cyber-Physical Systems with STL (Tutorial)

2018 ◽  
pp. 35-42
Author(s):  
Ezio Bartocci
Keyword(s):  
Cyber Physical Systems ◽  
Physical Systems ◽  
And Control

Security of Cyber-Physical Systems: State Estimation and Control

2022 ◽  
Author(s):  
Chengwei Wu ◽  
Weiran Yao ◽  
Guanghui Sun ◽  
Ligang Wu
Keyword(s):  
State Estimation ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Estimation And Control ◽  
And Control

Edge Sensing and Control Co-Design for Industrial Cyber-Physical Systems: Observability Guaranteed Method

2021 ◽  
pp. 1-13
Author(s):  
Zhiduo Ji ◽  
Cailian Chen ◽  
Jianping He ◽  
Shanying Zhu ◽  
Xinping Guan
Keyword(s):  
Cyber Physical Systems ◽  
Physical Systems ◽  
And Control

CPS Security

2015 ◽  
pp. 119-139
Keyword(s):  
Information Security ◽  
Control Theory ◽  
Control Systems ◽  
Distributed System ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Secure Control ◽  
Structured Information ◽  
Specialized Experts ◽  
And Control

Information security can be efficiently provided by the sound structured information and a set of specialized experts in the field of IT and CPS. The interconnection among the systems in the CPS imposes a new challenge in providing security to CPS. A concise study of CPS security is given in this chapter. The problem of secure control systems is also indentified and defined. The way the information security and control theory guards the system is explored. The security of CPSs can be enhanced using a particular set of challenges, which are also described later in this chapter. The resistance to malicious events is strengthening as cyber physical systems are part of critical structures. The CPSs are time sensitive in nature, unlike the distributed system where a little amount of delay is acceptable.

scholarly journals IoT-Based Digital Twin for Energy Cyber-Physical Systems: Design and Implementation

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4762 ◽  
Author(s):  
Ahmed Saad ◽  
Samy Faddel ◽  
Osama Mohammed
Keyword(s):  
Power Systems ◽  
Systems Design ◽  
Cyber Physical Systems ◽  
Superior Performance ◽  
Physical Systems ◽  
Digital Twin ◽  
Power And Control ◽  
Amazon Web Services ◽  
High Bandwidth ◽  
And Control

With the emergence of distributed energy resources (DERs), with their associated communication and control complexities, there is a need for an efficient platform that can digest all the incoming data and ensure the reliable operation of the power system. The digital twin (DT) is a new concept that can unleash tremendous opportunities and can be used at the different control and security levels of power systems. This paper provides a methodology for the modelling of the implementation of energy cyber-physical systems (ECPSs) that can be used for multiple applications. Two DT types are introduced to cover the high-bandwidth and the low-bandwidth applications that need centric oversight decision making. The concept of the digital twin is validated and tested using Amazon Web Services (AWS) as a cloud host that can incorporate physical and data models as well as being able to receive live measurements from the different actual power and control entities. The experimental results demonstrate the feasibility of the real-time implementation of the DT for the ECPS based on internet of things (IoT) and cloud computing technologies. The normalized mean-square error for the low-bandwidth DT case was 3.7%. In the case of a high-bandwidth DT, the proposed method showed superior performance in reconstructing the voltage estimates, with 98.2% accuracy from only the controllers’ states.

Monitoring and Control of Dual-Arm Industrial Robot Tasks Using IoT Application and Services

2015 ◽  
Vol 762 ◽  
pp. 255-260 ◽  
Author(s):  
Mircea Murar ◽  
Stelian Brad
Keyword(s):  
Experimental Testing ◽  
Industrial Robot ◽  
Cyber Physical Systems ◽  
Monitoring And Control ◽  
Research Directions ◽  
Physical Systems ◽  
Selection For ◽  
Robot Tasks ◽  
And Control ◽  
Dual Arm

In the context of latest technological revolution, Industry 4.0, connectivity and therefore access and control of cyber-physical systems and resources from any place, at any time by any means represent a technological enabler of crucial importance. The first part of this paperwork contains a brief introduction of cyber-physical systems and IoT concepts, together with a review of major IoT providers. The second part introduces an approach towards achieving connectivity and remote control of task selection for a dual-arm industrial robot using a commercially available IoT infrastructure and technology provided by ioBridge. Within the third part, details about experimental testing and evaluation of the selected solutions are presented. The last part is allocated for conclusions and further research directions.

scholarly journals Distributed Estimation Techniques for Cyber-Physical Systems: A Systematic Review

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4720 ◽  
Author(s):  
Carmelina Ierardi ◽  
Luis Orihuela ◽  
Isabel Jurado
Keyword(s):  
Systematic Review ◽  
Distributed Estimation ◽  
Cyber Physical Systems ◽  
Estimation Techniques ◽  
Physical Systems ◽  
Luenberger Observer ◽  
Control Community ◽  
Automation And Control ◽  
The Common ◽  
And Control

This paper undertakes a systematic review (SR) on distributed estimation techniques applied to cyber-physical systems (CPS). Even though SRs are not the common way to survey a theme in the control community, they provide a rigorous, robust and objective formula that should not be always ignored. The presented SR incorporates and adapts the guidelines recommended in other fields (mainly biosciences and computer sciences) to the field of automation and control and presents a brief description of the different phases that constitute an SR. As a result, this review compares the different techniques found in the literature in terms of: The proposed estimator (Kalman filter, Luenberger observer, Bayesian filter, etc.), the particular application within CPS, the design of the estimators (decentralized vs centralized), the amount of data required for implementation or the inclusion of experiments/simulations in the studies. Particular attention is paid to those papers that present some results in applications that include humans, animals or biological systems.

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