LEADER 04295nam 2200793z- 450 001 9910576879003321 005 20220621 035 $a(CKB)5720000000008385 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/84540 035 $a(oapen)doab84540 035 $a(EXLCZ)995720000000008385 100 $a20202206d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (132 p.) 311 08$a3-0365-3949-2 311 08$a3-0365-3950-6 330 $aThis book introduces novel results on mathematical modelling, parameter identification, and automatic control for a wide range of applications of mechanical, electric, and mechatronic systems, where undesirable oscillations or vibrations are manifested. The six chapters of the book written by experts from international scientific community cover a wide range of interesting research topics related to: algebraic identification of rotordynamic parameters in rotor-bearing system using finite element models; model predictive control for active automotive suspension systems by means of hydraulic actuators; model-free data-driven-based control for a Voltage Source Converter-based Static Synchronous Compensator to improve the dynamic power grid performance under transient scenarios; an exact elasto-dynamics theory for bending vibrations for a class of flexible structures; motion profile tracking control and vibrating disturbance suppression for quadrotor aerial vehicles using artificial neural networks and particle swarm optimization; and multiple adaptive controllers based on B-Spline artificial neural networks for regulation and attenuation of low frequency oscillations for large-scale power systems. The book is addressed for both academic and industrial researchers and practitioners, as well as for postgraduate and undergraduate engineering students and other experts in a wide variety of disciplines seeking to know more about the advances and trends in mathematical modelling, control and identification of engineering systems in which undesirable oscillations or vibrations could be presented during their operation. 606 $aHistory of engineering & technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aactive suspension 610 $aadaptive power system control 610 $aalgebraic identification 610 $aartificial neural networks 610 $aattraction sets 610 $aB-spline neural networks 610 $aB-splines 610 $abending vibration 610 $acoordinated multiple controllers 610 $adata-driven control 610 $aellipsoidal set 610 $aexact plate theory 610 $afinite element model 610 $agauge condition 610 $alinear parameter varying 610 $amodel predictive control 610 $apartial differential operator theory 610 $aparticle swarm optimization 610 $aquadratic stability 610 $aquadrotor UAV 610 $areactive power compensation 610 $arobust control 610 $arotor-bearing system 610 $arotordynamic coefficients 610 $aStatCom 610 $aSTATCOM 610 $aTaylor series 610 $athick plate 610 $avoltage control 610 $avoltage source converter 615 7$aHistory of engineering & technology 615 7$aTechnology: general issues 700 $aBeltran-Carbajal$b Francisco$4edt$01326311 702 $aRosas-Caro$b Julio Cesar$4edt 702 $aRamirez$b Juan M$4edt 702 $aFélix Patrón$b Roberto Salvador$4edt 702 $aBeltran-Carbajal$b Francisco$4oth 702 $aRosas-Caro$b Julio Cesar$4oth 702 $aRamirez$b Juan M$4oth 702 $aFélix Patrón$b Roberto Salvador$4oth 906 $aBOOK 912 $a9910576879003321 996 $aAdvances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems$93037297 997 $aUNINA LEADER 04697nam 2201165z- 450 001 9910557390103321 005 20220111 035 $a(CKB)5400000000041997 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76264 035 $a(oapen)doab76264 035 $a(EXLCZ)995400000000041997 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aChallenges and Prospects of Steelmaking Towards the Year 2050 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (222 p.) 311 08$a3-0365-2777-X 311 08$a3-0365-2776-1 330 $aThe world steel industry is strongly based on coal/coke in ironmaking, resulting in huge carbon dioxide emissions corresponding to approximately 7% of the total anthropogenic CO2 emissions. As the world is experiencing a period of imminent threat owing to climate change, the steel industry is also facing a tremendous challenge in next decades. This themed issue makes a survey on the current situation of steel production, energy consumption, and CO2 emissions, as well as cross-sections of the potential methods to decrease CO2 emissions in current processes via improved energy and materials efficiency, increasing recycling, utilizing alternative energy sources, and adopting CO2 capture and storage. The current state, problems and plans in the two biggest steel producing countries, China and India are introduced. Generally contemplating, incremental improvements in current processes play a key role in rapid mitigation of specific emissions, but finally they are insufficient when striving for carbon neutral production in the long run. Then hydrogen and electrification are the apparent solutions also to iron and steel production. The book gives a holistic overview of the current situation and challenges, and an inclusive compilation of the potential technologies and solutions for the global CO2 emissions problem. 606 $aTechnology: general issues$2bicssc 610 $aalternate ironmaking processes 610 $ablue dust 610 $aby-products 610 $acarbon capture and storage 610 $acarbon emission 610 $acarbon emissions 610 $acarbon footprint 610 $acharcoal 610 $acircular economy 610 $aclimate change 610 $aclimate warming 610 $aCO2 mineralization 610 $aCO2 mitigation 610 $acoking coal 610 $adecarbonization 610 $adigital skills 610 $adigital technologies 610 $adigital transformation 610 $adigitalization 610 $adirect reduction 610 $aDRI 610 $aecology transition 610 $aelectricity generation 610 $aemissions mitigation 610 $aenergy consumption 610 $aenergy saving 610 $aenvironment 610 $aenvironmental impact 610 $aflash ironmaking process 610 $afossil-free steel 610 $agas injection 610 $agrid balancing 610 $ahydrogen 610 $ahydrogen direct-reduced iron (H2DRI) 610 $ahydrogen in steelmaking 610 $ahydrogen production by water electrolysis 610 $ahydrogen storage 610 $aindustrial restructuring 610 $aindustrial symbiosis 610 $airon ore 610 $airon ore concentrate 610 $aironmaking 610 $akinetic models 610 $akinetics 610 $alean and frugal design 610 $alife cycle assessment (LCA) 610 $amathematical model 610 $amelting of H2DRI in EAF (Electric Arc Furnace) 610 $ametallic products 610 $ametals 610 $amini blast furnace 610 $amining 610 $an/a 610 $ananoparticles 610 $anatural gas 610 $apollution 610 $aproduction 610 $arecycling 610 $arenewable electricity 610 $areuse 610 $ascrap 610 $aself-reducing burden 610 $asmelting reduction 610 $asteel 610 $asteel industry 610 $asteel vision 610 $asteelmaking slags 610 $atechnology upgrade 610 $atoxicology 615 7$aTechnology: general issues 700 $aHolappa$b Lauri$4edt$01303450 702 $aHolappa$b Lauri$4oth 906 $aBOOK 912 $a9910557390103321 996 $aChallenges and Prospects of Steelmaking Towards the Year 2050$93027060 997 $aUNINA