LEADER 06358nam 2201525z- 450 001 9910346671703321 005 20231214133531.0 010 $a3-03921-111-0 035 $a(CKB)4920000000094950 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/44026 035 $a(EXLCZ)994920000000094950 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aControl and Nonlinear Dynamics on Energy Conversion Systems 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 electronic resource (438 p.) 311 $a3-03921-110-2 330 $aThe ever-increasing need for higher efficiency, smaller size, and lower cost make the analysis, understanding, and design of energy conversion systems extremely important, interesting, and even imperative. One of the most neglected features in the study of such systems is the effect of the inherent nonlinearities on the stability of the system. Due to these nonlinearities, these devices may exhibit undesirable and complex dynamics, which are the focus of many researchers. Even though a lot of research has taken place in this area during the last 20 years, it is still an active research topic for mainstream power engineers. This research has demonstrated that these systems can become unstable with a direct result in increased losses, extra subharmonics, and even uncontrollability/unobservability. The detailed study of these systems can help in the design of smaller, lighter, and less expensive converters that are particularly important in emerging areas of research like electric vehicles, smart grids, renewable energy sources, and others. The aim of this Special Issue is to cover control and nonlinear aspects of instabilities in different energy conversion systems: theoretical, analysis modelling, and practical solutions for such emerging applications. In this Special Issue, we present novel research works in different areas of the control and nonlinear dynamics of energy conversion systems. 610 $amulti-clearance 610 $aneural network 610 $azero average dynamics 610 $aCable3D 610 $avariable bus voltage MG 610 $aexplosion-magnetic generator 610 $aquadratic boost 610 $amatrix norm 610 $acoordinated control system 610 $apermanent magnet synchronous motor (PMSM) 610 $aphotovoltaic (PV) 610 $apower conversion 610 $acapacitance current pulse train control 610 $aair gap eccentricity 610 $ahigh step-up voltage gain 610 $avoltage ripple 610 $aoffset-free 610 $agoal representation heuristic dynamic programming (GrHDP) 610 $acurrent mode control 610 $asliding mode observer (SMO) 610 $amulti-model predictive control 610 $acombined heat and power unit 610 $adiscontinuous conduction mode (DCM) 610 $acurrent-pulse formation 610 $asliding mode control 610 $asingle artificial neuron goal representation heuristic dynamic programming (SAN-GrHDP) 610 $asubharmonic oscillations 610 $aDC micro grid 610 $asupply air temperature 610 $aair-handling unit (AHU) 610 $avibration characteristics 610 $amagnetic saturation 610 $aslope compensation 610 $afixed-point inducting control 610 $athe load of suspension point in the z direction 610 $avariable switching frequency DC-DC converters 610 $adroop control 610 $aHelmholtz number 610 $aplasma accelerator 610 $acontraction analysis 610 $asliding control 610 $abifurcations in control parameter 610 $adisturbance observer 610 $aDC motor 610 $amultiphysics 610 $avirtual impedance 610 $apulverizing system 610 $aultrahigh voltage conversion ratio 610 $acorrugated pipe 610 $aDC-DC converters 610 $amaximum power point tracking (MPPT) 610 $adynamic model 610 $anonlinear dynamics 610 $anew step-up converter 610 $amicro-grid 610 $aglobal stability 610 $aextended back electromotive force (EEMF) 610 $asmall-signal model 610 $aelectromagnetic vibration 610 $anonlinear dynamic model 610 $aexcited modes 610 $adata-driven 610 $arigid body rotation 610 $aposition sensorless 610 $aprediction 610 $acentralized vs. decentralized control 610 $ainferential control 610 $aboost-flyback converter 610 $acalculation method 610 $aswitched reluctance generator 610 $amonodromy matrix 610 $abridgeless converter 610 $adecoupling control 610 $adistributed architecture 610 $awave 610 $abuck converter 610 $asoft sensor 610 $amodel?plant mismatches 610 $awhistling noise 610 $aefficiency optimization 610 $asteel catenary riser 610 $amoving horizon estimation 610 $asingle artificial neuron (SAN) 610 $aspace mechanism 610 $atwo-stage bypass 610 $aelectrical machine 610 $aharmonic suppression 610 $alocal vs. global optimization 610 $aperformance recovery 610 $areinforcement learning (RL) 610 $aadaptive dynamic programming (ADP) 610 $aovervoltage 610 $aplanetary gears 610 $amaximum power point tracking 610 $aDC-DC buck converter 610 $apower quality 610 $aaverage-current mode control 610 $afeedback coefficient 610 $apower factor correction (PFC) 610 $acapacitance current 610 $apredictive control 610 $arotor dynamics 700 $aIu$b Herbert Ho-Ching$4auth$01134644 702 $aEl Aroudi$b Abdelali$4auth 906 $aBOOK 912 $a9910346671703321 996 $aControl and Nonlinear Dynamics on Energy Conversion Systems$93032354 997 $aUNINA