scholarly journals Guaranteeing Timely Response to Changes of Monitored Objects by Assigning Deadlines and Periods to Tasks

2021 ◽  
Vol 20 (5s) ◽  
pp. 1-22
Author(s):  
Quan Zhou ◽  
Guohui Li ◽  
Qi Chen ◽  
Jianjun Li
Keyword(s):  
Response Time ◽  
Physical Systems ◽  
Acceptance Ratio ◽  
Time Control ◽  
Timely Response ◽  
Safety And Reliability ◽  
Workload Control ◽  
Scheduling Method ◽  
And Control ◽  
Earliest Deadline

Timely response to changes of monitored objects is the key to ensuring the safety and reliability of cyber-physical systems (CPSs). There are two kinds of tasks in CPSs: update tasks and control tasks. Update tasks are responsible for updating the data in the system based on the state of the objects they monitor. Control tasks are responsible for making decisions based on the data in the system. The response time of the system to the change of a monitored object consists of two parts: the time taken by update tasks to reflect the change to the system, and the time taken by control tasks to make decisions according to the data in the system. Deadlines and periods of update tasks and control tasks directly affect the response time. Reasonable deadline and period assignment is the key to ensuring timely response to the changes of monitored objects. In this paper, we study the deadline and period assignment in CPSs. To the best of our knowledge, all existing work only focuses on the deadline and period assignment for update tasks with the goal of ensuring the freshness of the data in CPSs, and this is the first study focusing on the deadline and period assignment for both update tasks and control tasks with the goal of ensuring timely response to the changes of monitored objects. A new problem about response time control and system workload control is defined in this paper. Two deadline and period assignment methods are proposed to solve the defined problem. All the proposed methods can be used in the CPSs adopting the earliest deadline first (EDF) scheduling method. Experiments with randomly generated tasks are conducted to evaluate the performance of the proposed methods in terms of acceptance ratio and execution efficiency.

scholarly journals A Database-Centric Framework for the Modeling, Simulation, and Control of Cyber-Physical Systems in the Factory of the Future

2018 ◽  
Vol 27 (4) ◽  
pp. 659-679 ◽  
Author(s):  
Andrea Bonci ◽  
Massimiliano Pirani ◽  
Sauro Longhi
Keyword(s):  
Cyber Physical Systems ◽  
Real Time Control ◽  
Embedded Devices ◽  
Physical Systems ◽  
Time Control ◽  
The Future ◽  
Factory Of The Future ◽  
Automation Technology ◽  
And Control

Abstract The factory of the future scenario asks for new approaches to cope with the incoming challenges and complexity of cyber-physical systems. The role of database management systems is becoming central for control and automation technology in this new industrial scenario. This article proposes database-centric technology and architecture that aims to seamlessly integrate networking, artificial intelligence, and real-time control issues into a unified model of computing. The proposed methodology is also viable for the development of a framework that features simulation and rapid prototyping tools for smart and advanced industrial automation. The full expression of the potentialities in the presented approach is expected in particular for applications where tiny and distributed embedded devices collaborate to a shared computing task of relevant complexity.

A Smart Home Architectural Design of Cyber Physical Systems

2014 ◽  
Vol 484-485 ◽  
pp. 785-789 ◽  
Author(s):  
Zhe Jun Kuang ◽  
Liang Hu ◽  
Chen Zhang
Keyword(s):  
Smart Home ◽  
Architectural Design ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Distributed Control System ◽  
Real Time Control ◽  
Physical Systems ◽  
Time Control ◽  
Physical Interfaces ◽  
And Control

the development of the smart home has broken many the traditional ways, which are a new, comfortable, convenient way for people to live and work in a better environment. Smart home services should be completed within the effective time-related tasks, and real-time control strategy plays an important role. CPS is a complicated distributed control system,interaction between cyber world and physical world by computation, communication and control. CPS provides methods of the compositionality, distributed Sensing, physical interfaces and human interfaces integration that could help smart home system become more intelligent and humanization. In this paper, we analyze the characteristics of CPS and Smart home system, design an architectural of CPS for smart home.

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

Integrative Modeling Platform for Design and Control of an Adaptive Wind Turbine Blade

2018 ◽  
Author(s):  
Hamid Khakpour Nejadkhaki ◽  
John F. Hall ◽  
Minghui Zheng ◽  
Teng Wu
Keyword(s):  
Simulation Model ◽  
Wind Turbine ◽  
Real Time ◽  
Turbine Blade ◽  
Design Tool ◽  
Real Time Control ◽  
Time Control ◽  
Partial Load ◽  
And Control

A platform for the engineering design, performance, and control of an adaptive wind turbine blade is presented. This environment includes a simulation model, integrative design tool, and control framework. The authors are currently developing a novel blade with an adaptive twist angle distribution (TAD). The TAD influences the aerodynamic loads and thus, system dynamics. The modeling platform facilitates the use of an integrative design tool that establishes the TAD in relation to wind speed. The outcome of this design enables the transformation of the TAD during operation. Still, a robust control method is required to realize the benefits of the adaptive TAD. Moreover, simulation of the TAD is computationally expensive. It also requires a unique approach for both partial and full-load operation. A framework is currently being developed to relate the TAD to the wind turbine and its components. Understanding the relationship between the TAD and the dynamic system is crucial in the establishment of real-time control. This capability is necessary to improve wind capture and reduce system loads. In the current state of development, the platform is capable of maximizing wind capture during partial-load operation. However, the control tasks related to Region 3 and load mitigation are more complex. Our framework will require high-fidelity modeling and reduced-order models that support real-time control. The paper outlines the components of this framework that is being developed. The proposed platform will facilitate expansion and the use of these required modeling techniques. A case study of a 20 kW system is presented based upon the partial-load operation. The study demonstrates how the platform is used to design and control the blade. A low-dimensional aerodynamic model characterizes the blade performance. This interacts with the simulation model to predict the power production. The design tool establishes actuator locations and stiffness properties required for the blade shape to achieve a range of TAD configurations. A supervisory control model is implemented and used to demonstrate how the simulation model blade performs in the case study.

scholarly journals Evaluation of safety and reliability parameters of supervision and control systems

Dependability ◽  
2017 ◽  
Vol 17 (1) ◽  
pp. 46-52 ◽  
Author(s):  
O. L. Makoveev ◽  
S. Yu. Kostyunin
Keyword(s):  
Control Systems ◽  
Reliability Parameters ◽  
Safety And Reliability ◽  
And Control

Modeling and Control of Complex Physical Systems

2009 ◽  
Author(s):  
Vincent Duindam ◽  
Alessandro Macchelli ◽  
Stefano Stramigioli ◽  
Herman Bruyninckx
Keyword(s):  
Modeling And Control ◽  
Physical Systems ◽  
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
Sign in / Sign up

Export Citation Format

Share Document