Development of Self-Optimizing Systems

Gausemeier J, Korf S, Porrmann M, Stahl K, Sudmann O, Vaßholz M (2014)
In: Design Methodology for Intelligent Technical Systems – Develop Intelligent Technical Systems of the Future. Gausemeier J, Rammig FJ, Schäfer W (Eds);Berlin Heidelberg: Springer Verlag: 65-117.

Book Chapter | Published | English

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Gausemeier, Jürgen ; Rammig, Franz Josef ; Schäfer, Wilhelm
Abstract
In the development of self-optimizing systems, developers have to face different challenges, such as the multidisciplinarity of mechatronics, cross-linking between the subsystems, the lack of current knowledge in the fields of advanced mathematics and artificial intelligence, and increased dependability requirements. To support the developer in this challenging task adequately, the Collaborative Research Center 614 has developed a design methodology consisting of a reference process, methods and tools. The reference process is divided into two phases: the ”Domain-Spanning Conceptual Design” and the ”Domain-Specific Design and Development”. In the first phase, the domain-spanning model-based aproach CONSENS (CONceptual design Specification technique for the ENgineering of complex Systems) is used to create a common understanding basis between the different domains involved. Based on the Principle Solution developed in this phase, the ”Domain-Specific Design and Development” is planned and implemented. To ensure the development of dependable self-optimizing systems, domain-spanning and domain-specific dependability engineering methods can be used. The developer encounters a significant number of these methods, that have to be integrated into the process to obtain an individualized development process for the specific development task.
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Gausemeier J, Korf S, Porrmann M, Stahl K, Sudmann O, Vaßholz M. Development of Self-Optimizing Systems. In: Gausemeier J, Rammig FJ, Schäfer W, eds. Design Methodology for Intelligent Technical Systems – Develop Intelligent Technical Systems of the Future. Berlin Heidelberg: Springer Verlag; 2014: 65-117.
Gausemeier, J., Korf, S., Porrmann, M., Stahl, K., Sudmann, O., & Vaßholz, M. (2014). Development of Self-Optimizing Systems. In J. Gausemeier, F. J. Rammig, & W. Schäfer (Eds.), Design Methodology for Intelligent Technical Systems – Develop Intelligent Technical Systems of the Future (pp. 65-117). Berlin Heidelberg: Springer Verlag.
Gausemeier, J., Korf, S., Porrmann, M., Stahl, K., Sudmann, O., and Vaßholz, M. (2014). “Development of Self-Optimizing Systems” in Design Methodology for Intelligent Technical Systems – Develop Intelligent Technical Systems of the Future, ed. J. Gausemeier, F. J. Rammig, and W. Schäfer (Berlin Heidelberg: Springer Verlag), 65-117.
Gausemeier, J., et al., 2014. Development of Self-Optimizing Systems. In J. Gausemeier, F. J. Rammig, & W. Schäfer, eds. Design Methodology for Intelligent Technical Systems – Develop Intelligent Technical Systems of the Future. Berlin Heidelberg: Springer Verlag, pp. 65-117.
J. Gausemeier, et al., “Development of Self-Optimizing Systems”, Design Methodology for Intelligent Technical Systems – Develop Intelligent Technical Systems of the Future, J. Gausemeier, F.J. Rammig, and W. Schäfer, eds., Berlin Heidelberg: Springer Verlag, 2014, pp.65-117.
Gausemeier, J., Korf, S., Porrmann, M., Stahl, K., Sudmann, O., Vaßholz, M.: Development of Self-Optimizing Systems. In: Gausemeier, J., Rammig, F.J., and Schäfer, W. (eds.) Design Methodology for Intelligent Technical Systems – Develop Intelligent Technical Systems of the Future. p. 65-117. Springer Verlag, Berlin Heidelberg (2014).
Gausemeier, Jürgen, Korf, Sebastian, Porrmann, Mario, Stahl, Katharina, Sudmann, Oliver, and Vaßholz, Mareen. “Development of Self-Optimizing Systems”. Design Methodology for Intelligent Technical Systems – Develop Intelligent Technical Systems of the Future. Ed. Jürgen Gausemeier, Franz Josef Rammig, and Wilhelm Schäfer. Berlin Heidelberg: Springer Verlag, 2014. 65-117.
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