LEADER 05399nam 2201045z- 450 001 9910557289803321 005 20240402205006.0 035 $a(CKB)5400000000041142 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69434 035 $a(EXLCZ)995400000000041142 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAutomation, Control and Energy Efficiency in Complex Systems 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (242 p.) 311 $a3-03943-627-9 311 $a3-03943-628-7 330 $aThis book is aimed at serving researchers, engineers, scientists, and engineering graduate and PhD students of engineering and physical science together with individuals interested in engineering and science. This book focuses on the application of engineering methods to complex systems including transportation, building, and manufacturing, with approaches representing a wide variety of disciplines of engineering and science. Throughout the book, great emphases are placed on engineering applications of complex systems, as well as the methodologies of automation, including artificial intelligence, automated and intelligent control, energy analysis, energy modelling, energy management, and optimised energy efficiency. The significant impact of recent studies that have been selected for presentation are of high interest in engineering complex systems. An attempt has been made to expose the reading audience of engineers and researchers to a broad range of theoretical and practical topics. The topics contained in the present book are of speci?c interest to engineers who are seeking expertise in transportation, building, and manufacturing technologies as well as mathematical modelling of complex systems, engineering approaches to engineering complex problems, automation via artificial intelligence methods, automated and intelligent control, and energy systems. The primary audience of this book are researchers, graduate students, and engineers in mechanical engineering, control engineering, computer engineering, electrical engineering, and science disciplines. In particular, the book can be used for training graduate and PhD students as well as senior undergraduate students to enhance their knowledge by taking a graduate or advanced undergraduate course in the areas of complex systems, control systems, energy systems, and engineering applications. The covered research topics are also of interest to engineers and academia who are seeking to expand their expertise in these areas.eng 606 $aHistory of engineering & technology$2bicssc 610 $amicrostructure 610 $acarbon fibers 610 $apolyacrylonitrile 610 $athermal stabilization 610 $arecirculation fan frequency 610 $aIR imaging 610 $aextended-range electric bus 610 $aadaptive-equivalent consumption minimum strategy 610 $aMarkov chain 610 $atarget driving cycles 610 $aSOC reference curve 610 $aenergy management system 610 $abuilding automation systems 610 $abuilding energy efficiency 610 $adaytime lighting 610 $alighting control systems 610 $aEN 15232 standard 610 $afour-wheel independent-drive 610 $aelectric vehicle 610 $askid steering 610 $adifferential steering 610 $asliding mode variable structure control 610 $arobustness 610 $aactive 4WS system 610 $ahierarchical control 610 $adecoupling 610 $afractional sliding mode control 610 $avehicle-to-grid 610 $aEV charging infrastructure 610 $aoptimal dispatch 610 $aoil-to-electricity transformation for automobiles 610 $apermanent magnet synchronous motor 610 $asliding mode control 610 $amotion control 610 $afractional order 610 $asliding surface 610 $acomposite controller 610 $aintelligent control (IC) 610 $afuzzy cognitive map (FCM) 610 $adirect expansion air-conditioning (DX A/C) 610 $anonlinear 610 $acoupling effect 610 $aMIMO 610 $astability analysis 610 $aLyapunov function 610 $afuzzy bidirectional associative memories (FBAMs) 610 $aURT 610 $amulti-train optimization 610 $asteep slope 610 $aelectrical network model 610 $aregenerative energy dynamic losses 610 $aAir-Conditioning 610 $aOn-Off control 610 $adesert climate 610 $aoptimization 610 $aElman Neural Networks 610 $aevent-based consensus 610 $ahierarchical leader?follower network 610 $ahierarchical event-based control 610 $alayer-to-layer delays 615 7$aHistory of engineering & technology 700 $aKhayyam$b Hamid$4edt$01293812 702 $aKhayyam$b Hamid$4oth 906 $aBOOK 912 $a9910557289803321 996 $aAutomation, Control and Energy Efficiency in Complex Systems$93022737 997 $aUNINA