scholarly journals A co-simulation approach for control performance analysis during design space exploration of cyber-physical systems

2011 ◽  
Vol 8 (2) ◽  
pp. 23-26 ◽  
Author(s):  
Nina Mühleis ◽  
Michael Glaß ◽  
Liyuan Zhang ◽  
Jürgen Teich
Keyword(s):  
Performance Analysis ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Cyber Physical Systems ◽  
Control Performance ◽  
Simulation Approach ◽  
Physical Systems

Security/Timing-Aware Design Space Exploration of CAN FD for Automotive Cyber-Physical Systems

2019 ◽  
Vol 15 (2) ◽  
pp. 1094-1104 ◽  
Author(s):  
Yong Xie ◽  
Gang Zeng ◽  
Ryo Kurachi ◽  
Hiroaki Takada ◽  
Guoqi Xie
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Cyber Physical Systems ◽  
Physical Systems

Design Space Exploration for Secure IoT Devices and Cyber-Physical Systems

2021 ◽  
Vol 20 (4) ◽  
pp. 1-24
Author(s):  
Lukas Gressl ◽  
Christian Steger ◽  
Ulrich Neffe
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Cyber Physical Systems ◽  
Embedded Devices ◽  
Daily Lives ◽  
System Designer ◽  
Physical Systems ◽  
Network Availability ◽  
And Performance

With the advent of the Internet of Things (IoT) and Cyber-Physical Systems (CPS), embedded devices have been gaining importance in our daily lives, as well as industrial processes. Independent of their usage, be it within an IoT system or a CPS, embedded devices are always an attractive target for security attacks, mainly due to their continuous network availability and the importance of the data they handle. Thus, the design of such systems requires a thorough consideration of the various security constraints they are liable to. Introducing these security constraints, next to other requirements, such as power consumption, and performance increases the number of design choices a system designer must consider. As the various constraints are often conflicting with each other, designers face the complex task of balancing them. System designers facilitate Design Space Exploration (DSE) tools to support a system designer in this job. However, available DSE tools only offer a limited way of considering security constraints during the design process. In this article, we introduce a novel DSE framework, which allows the consideration of security constraints, in the form of attack scenarios, and attack mitigations in the form of security tasks. Based on the descriptions of the system’s functionality and architecture, possible attacks, and known mitigation techniques, the framework finds the optimal design for a secure IoT device or CPS. Our framework’s functionality and its benefits are shown based on the design of a secure sensor system.

Reliable and Secure Design-Space-Exploration for Cyber-Physical Systems

2020 ◽  
Vol 19 (3) ◽  
pp. 1-29
Author(s):  
Saurav Kumar Ghosh ◽  
Jaffer Sheriff R C ◽  
Vibhor Jain ◽  
Soumyajit Dey
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Cyber Physical Systems ◽  
Physical Systems

Ontological reasoning in the design space exploration of advanced cyber-physical systems

2021 ◽  
pp. 104151
Author(s):  
Yon Vanommeslaeghe ◽  
Joachim Denil ◽  
Jasper De Viaene ◽  
David Ceulemans ◽  
Stijn Derammelaere ◽  
...  
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Ontological Reasoning

Modeling and Simulation of Common Core Gas Turbine Engine Variant Applications

2016 ◽  
Author(s):  
Jonathan S. Sands ◽  
Alexander H. Karl ◽  
Dimitri N. Mavris
Keyword(s):  
Modeling And Simulation ◽  
Gas Turbine ◽  
Common Core ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Simulation Approach ◽  
Turbine Engine ◽  
Product Application ◽  
Single Baseline

The development of a clean sheet gas turbine engine program can be a multi-billion dollar undertaking. The decision to take on such a program can place the company at great risk. In order to distribute this capital risk among a large quantity of products, the engine core should be utilized across a family of products. However, common core engine variant designs must also achieve performance levels that are competitive and economically viable options for likely customers. Common engine core design decisions should be made with knowledge of how a candidate core definition will impact initial and future product applications. Implications must be drawn to estimate the impacts on performance, weight, and cost when employing a single core definition across a variety of likely product applications. This introduces an immense computational challenge. If commonality were enforced via post processing of simulation data, a large portion of the design space would not represent common core applications, making the associated data useless to the designer. Therefore, engine commonality should be implicitly imposed across the various product applications being considered. To further reduce the computational burden of simulating multiple applications, design space exploration of the core and corresponding variant applications must also be done in an efficient manner. This research aims to develop and demonstrate a computationally efficient method for modeling and simulating a variety of common core engine variant applications simultaneously. The modeling approach to enforce commonality will first be shown. Additionally, the method will be shown to enable design space exploration of multiple common core engine applications simultaneously. Through the use of surrogate models, the relationship between a common engine core definition and corresponding variant application will be captured in mathematical form. This mathematical relationship will then be duplicated for each product application, tying all applications to a single baseline engine core definition. The approach allows core design implications to be drawn instantaneously to each product application considered. After establishing the unique modeling and simulation approach, the method will be demonstrated for a multiple application common core design problem. The process will be used to arrive at an engine core definition that can be employed across multiple high bypass turbofan applications. In order to enumerate the amount of compromise made by employing a single baseline core definition across multiple applications, each resultant common core variant design will be compared to corresponding clean sheet designs selected for each individual application. The knowledge gained from this modeling and simulation approach allows the designer to make performance, weight, and cost trades efficiently across a family of products earlier in the development process.

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