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Control and Nonlinear Dynamics on Energy Conversion Systems
| Control and Nonlinear Dynamics on Energy Conversion Systems |
| Autore | Iu Herbert Ho-Ching |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (438 p.) |
| Soggetto non controllato |
multi-clearance
neural network zero average dynamics Cable3D variable bus voltage MG explosion-magnetic generator quadratic boost matrix norm coordinated control system permanent magnet synchronous motor (PMSM) photovoltaic (PV) power conversion capacitance current pulse train control air gap eccentricity high step-up voltage gain voltage ripple offset-free goal representation heuristic dynamic programming (GrHDP) current mode control sliding mode observer (SMO) multi-model predictive control combined heat and power unit discontinuous conduction mode (DCM) current-pulse formation sliding mode control single artificial neuron goal representation heuristic dynamic programming (SAN-GrHDP) subharmonic oscillations DC micro grid supply air temperature air-handling unit (AHU) vibration characteristics magnetic saturation slope compensation fixed-point inducting control the load of suspension point in the z direction variable switching frequency DC-DC converters droop control Helmholtz number plasma accelerator contraction analysis sliding control bifurcations in control parameter disturbance observer DC motor multiphysics virtual impedance pulverizing system ultrahigh voltage conversion ratio corrugated pipe DC-DC converters maximum power point tracking (MPPT) dynamic model nonlinear dynamics new step-up converter micro-grid global stability extended back electromotive force (EEMF) small-signal model electromagnetic vibration nonlinear dynamic model excited modes data-driven rigid body rotation position sensorless prediction centralized vs. decentralized control inferential control boost-flyback converter calculation method switched reluctance generator monodromy matrix bridgeless converter decoupling control distributed architecture wave buck converter soft sensor model–plant mismatches whistling noise efficiency optimization steel catenary riser moving horizon estimation single artificial neuron (SAN) space mechanism two-stage bypass electrical machine harmonic suppression local vs. global optimization performance recovery reinforcement learning (RL) adaptive dynamic programming (ADP) overvoltage planetary gears maximum power point tracking DC-DC buck converter power quality average-current mode control feedback coefficient power factor correction (PFC) capacitance current predictive control rotor dynamics |
| ISBN | 3-03921-111-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346671703321 |
Iu Herbert Ho-Ching
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Control in Energy Systems
| Intelligent Control in Energy Systems |
| Autore | Dounis Anastasios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (508 p.) |
| Soggetto non controllato |
energy management system
artificial neural network control architecture intelligent buildings sensitivity analysis neural networks active balance photovoltaic system fast frequency response artificial intelligence MPPT operation model uncertainty load frequency control decision tree multi-agent control hybrid power plant Fault Ride Through Capability optimization small scale compressed air energy storage (SS-CAES) smart micro-grid current distortion hybrid electric vehicle parameter estimation railway ANFIS solar monitoring system urban microgrids phase-load balancing model reduction high-speed railway energy internet coordination of reserves differential evolution photovoltaic array ancillary service adjacent areas instantaneous optimization minimum power loss model predictive control HVAC systems sliding mode control MPPT: maximum power point tracking power oscillations thyristor interaction minimization occupancy model fuzzy logic controller power transformer winding RLS integrated energy systems vibration characteristics battery safety error estimation error compensation static friction convolutional neural network forecasting continuous voltage control medium voltage bridgeless SEPIC PFC converter building climate control PEM fuel cell proton exchange membrane fuel cell compound structured permanent-magnet motor occupancy-based control four phases interleaved boost converter long short term memory line switching lithium-ion battery pack back propagation (BP) neural network doubly-fed induction generator double forgetting factors current controller design repetitive controller exhaust gas recirculation (EGR) valve system neural network controller step-up boost converter internal short circuit resistance electric power consumption electric vehicle multiphysical field analysis energy efficiency multi-energy complementary system identification ?-synthesis network sensitivity intelligent control ?-class function frequency support multi-step forecasting frequency containment reserve orthogonal least square rule-based control industrial process hierarchical Petri nets wind integrated power system probabilistic power flow voltage controlling adaptive backstepping AC-DC converters line loss demand side management energy systems short-circuit experiment winding-fault characteristics neutral section stochastic power system operating point drift neural network algorithm operation limit violations fractional order fuzzy PID controller preventive control AC static switch battery packs model-based fault detection automotive application nonlinear power systems adaptive damping control pilot point energy management position control frequency control dead band fuzzy voltage violations distribution network planning frequency regulation energy management strategy multiple-point control electric meter polynomial expansion commercial/residential buildings system modelling three-stage soft internal short circuit demand response |
| ISBN | 3-03921-416-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367565403321 |
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Dounis Anastasios
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||