LEADER 04268nam 22005775 450 001 9910299926703321 005 20200706085316.0 010 $a3-319-46813-8 024 7 $a10.1007/978-3-319-46813-6 035 $a(CKB)4100000000586765 035 $a(DE-He213)978-3-319-46813-6 035 $a(MiAaPQ)EBC5043131 035 $a(PPN)204535689 035 $a(EXLCZ)994100000000586765 100 $a20170909d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aActive System Control $eDesign of System Resilience /$fby Igor Schagaev, Brian Robinson Kirk 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XVI, 295 p. 139 illus., 110 illus. in color.) 311 $a3-319-46812-X 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aAviation: Landscape, Classification, Risk Data -- Active System Control and Safety Approach and Regulation in Other Application Domains -- Aircraft Flight Reliability, Safety Landscape of Aircraft Use -- Active Safety Relative to Existing Devices -- Principle of Active System Control (Theory) -- Principle of Active System Control: Implementation Aspects -- Active System Control and Its Impact on Mission Reliability -- Flight Mode Concept and Realisation -- Active System Control: Realisation -- Active System Control: Future. 330 $aThis book introduces an approach to active system control design and development to improve the properties of our technological systems. It extends concepts of control and data accumulation by explaining how the system model should be organized to improve the properties of the system under consideration. The authors define these properties as reliability, performance and energy-efficiency, and self-adaption. They describe how they bridge the gap between data accumulation and analysis in terms of interpolation with the real physical models when data used for interpretation of the system conditions. The authors introduce a principle of active system control and safety?an approach that explains what a model of a system should have, making computer systems more efficient, a crucial new concern in application domains such as safety critical, embedded and low-power autonomous systems like transport, healthcare, and other dynamic systems with moving substances and elements. On a theoretical level, this book further extends the concept of fault tolerance, introducing a system level of design for improving overall efficiency. On a practical level it illustrates how active system approach might help our systems be self-evolving. Presents the rationale for, and theory of, redundancy, presented for easy application in system design; Describes the role of activeness in system design in terms of what is needed to making systems efficient; Estimates the benefit of using a new approach of active system control system. 606 $aElectrical engineering 606 $aQuality control 606 $aReliability 606 $aIndustrial safety 606 $aControl engineering 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aQuality Control, Reliability, Safety and Risk$3https://scigraph.springernature.com/ontologies/product-market-codes/T22032 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 615 0$aElectrical engineering. 615 0$aQuality control. 615 0$aReliability. 615 0$aIndustrial safety. 615 0$aControl engineering. 615 14$aCommunications Engineering, Networks. 615 24$aQuality Control, Reliability, Safety and Risk. 615 24$aControl and Systems Theory. 676 $a621.382 700 $aSchagaev$b Igor$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720771 702 $aKirk$b Brian Robinson$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299926703321 996 $aActive System Control$92525424 997 $aUNINA