Adaptronics and Smart Structures

Janocha, Hartmut

doi:10.1007/978-3-540-71967-0

Cited by 118 publications

(66 citation statements)

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“…Within the transmission, no amplification (no positive change of energy content of the signal) occurs. Both infector and transmission form "adaptronics" [2]) the structures to adapt the primary signal to the needs of the sensor, which is capable to process a limited range of properties of a (in our chain secondary) signal. Thus in animals a wide variety of mechanical signals may be detected by only a small number of main sensor types (which at last are nervous endings covered by standard type of the parts of the transmission near to the nerve, e.g.…”

Section: Opinionmentioning

confidence: 99%

The Concept of Biomechatronic Systems as a Means to Support the Development of Biosensors

Witte¹

2017

IJBSBE

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Section: Opinionmentioning

confidence: 99%

The Concept of Biomechatronic Systems as a Means to Support the Development of Biosensors

Witte¹

2017

IJBSBE

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“…Adaptation is seen as a conditioned self-capability of a class of systems (Benyon and Murray, 1993). In the literature, evolution and evolvability of engineered systems are also often studied as system properties (Janocha, 2007). Traditional interpretation of the evolution of an engineered system considers the changes to a system, which are made by the system designers at design time as a result of changed requirements from one release of the system to the next.…”

Section: Adaptronics Of Systemsmentioning

confidence: 99%

An initial categorization of foundational research in complex technical systems

Horváth

2015

J. Zhejiang Univ. Sci. A

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There has been intense foundational research in complex technical systems (CTSs) over the last half century. These systems are exemplified by advanced mechatronics systems, embedded control systems, real-time systems, agent-based smart systems, distributed software systems, internet of things systems, and cyber-physical systems. The objective of this paper is to offer an initial cataloguing of the various research domains and to identify the major research issues. The paper has an ontological flavour, because it concentrates on what research has been and is being done, rather than on why and how research is done. The underpinning study has been done in three stages: (i) intuition-driven exploration of a reference set of related academic publications, (ii) evidence-based specification of a categorization of the domains and subdomains of research, and (iii) refinement and validation of the proposed classification based on a control set of related academic publications. The proposed reasoning model identifies three categories of research domains. The 'intellectualizations' category includes research domains such as: (i) philosophy, (ii) ontology, and (iii) epistemology of CTSs. The research domains included in the 'realizations' category are: (iv) methodology, and (v) creation of CTSs. The domains considered in the 'influences' category are: (vi) manifestations, and (vii) axiology of CTSs. Based on the proposed reasoning model a landscape of foundational research in CTSs is proposed for public debate. Our follow-up study focuses on the extension of the proposed classification to other families of complex engineered systems such as sociotechnical systems and social ecosystems.

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“…The field of smart materials is relatively new and is known by several names: adaptronics, adaptive structures, intelligent material systems and structures, smart materials and structures and/or a combination of these words, Smith (2005) and Janocha (2007). The keypoint of such structures is a very high degree of integrability that requires the use of multifunctional and electrically controlled materials, i.e.…”

Section: Introductionmentioning

confidence: 99%