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Cyber-physical systems (CPSs) are deemed as the key enablers of next generation applications. Needless to say, the design, verification and validation of cyber-physical systems reaches unprecedented levels of complexity, specially due to their sensibility to safety issues. Under this perspective, leveraging architectural descriptions to reason on a CPS(More)
<i>Context</i>: Cyber-physical systems (CPS) seamlessly integrate computational and physical components. Adaptability, realized through feedback loops, is a key requirement to deal with uncertain operating conditions in CPS. <i>Objective</i>: We aim at assessing state-of-art approaches to handle self-adaptation in CPS at the architectural level. (More)
By focussing on Cyber Physical Systems (CPS), this paper investigates how component-based principles and practices are used and support the activity of architecting CPS. For doing so, by running a systematic process, we selected 49 primary studies from the most important publishers search engines. Those papers have been analyzed and their contents(More)
This paper proposes CAPS, an architecture-drivenmodeling framework for the development of Situational AwareCyber-Physical Systems. Situational Awareness involves being aware of what ishappening in the surroundings, and using this informationto decide and act. It has been recognized as a critical, yet often elusive, foundation for successful(More)
Situational Aware (SiA) Cyber-physical systems(CPS) harmoniously integrate computational and physicalcomponents to being aware of what is happening in the surroundings, and using this information to decide and act. In thistool demo, we present our architecture-driven modeling toolnamed CAPS. This tool enables architects, system engineers, and cyber-physical(More)
Context: Security has become a major concern for modern Cyber-Physical Systems (CPS), due to their distributed, sensing, actuating, and always connected nature. A considerable number of security principles and practices have been defined by the security communities and are being implemented in architecting secure CPS. Objective: The main question we are(More)
Least squares support vector machines (LS-SVM) based on a group of different kernel functions (Linear-Polynomial-Radial Basis Function- Exponential Radial Basis Function) for modeling nonlinear systems is introduced in this paper. A method for selecting the hyperparameters of LS-SVM is presented in details for both the regularization parameter (&#x03B3;)(More)
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