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Applied Mathematics to Mechanisms and Machines
| Applied Mathematics to Mechanisms and Machines |
| Autore | Rubio Alonso Higinio |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (396 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
path generation
dimensional synthesis hybrid optimization slider-crank mechanism hybrid compliant mechanisms path analysis numerical methods elliptic integrals kinematics Levenberg–Marquardt algorithm convergence neural networks local minima optimization three-legged parallel mechanism compliant mechanism flexure-based mechanism flexure compliant joint decoupled motion coupled motion stiffness compliance suspension algorithm predictive suspension land vehicle sprung mass autoencoder aeroengine denoising GRU rotordynamic adaptive rejection control sinusoidal disturbance flexible rotor hydrodynamic journal bearing six-bar mechanism dynamic balancing fully Cartesian coordinates multiobjective optimization differential evolution Pareto front serial robotic manipulators singularity identification geometric algebra rotor group distance to a singularity air flow medical sensor emergency air flow sensor low-cost air flow sensor nanostructures COVID-19 FEM analysis biomechanics effort mathematical models NMR reconstruction reverse engineering elbow joint zipper-coupled tubes Miura-ori pattern deployable mechanism origami inspired design smooth sheet attachment relative rotation jump safe basin fractal heteroclinic bifurcation delayed feedback helical spring vibration Frenet trihedral dispersion relation natural frequency approximate entropy non-linear systems phase space reconstruction fault classification random forest support vector machines lateral dynamics track parameters vehicle mathematical modeling safety vehicle index |
| ISBN | 3-0365-5924-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639986503321 |
Rubio Alonso Higinio
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (376 p.) |
| Soggetto non controllato |
natural hazards &
artificial neural network flood routing the Three Gorges Dam backtracking search optimization algorithm (BSA) lag analysis artificial intelligence classification and regression trees (CART) decision tree real-time optimization ensemble empirical mode decomposition (EEMD) improved bat algorithm convolutional neural networks ANFIS method of tracking energy differences (MTED) adaptive neuro-fuzzy inference system (ANFIS) recurrent nonlinear autoregressive with exogenous inputs (RNARX) disasters flood prediction ANN-based models flood inundation map ensemble machine learning flood forecast sensitivity hydrologic models phase space reconstruction water level forecast data forward prediction early flood warning systems bees algorithm random forest uncertainty soft computing data science hydrometeorology LSTM rating curve method forecasting superpixel particle swarm optimization high-resolution remote-sensing images machine learning support vector machine Lower Yellow River extreme event management runoff series empirical wavelet transform Muskingum model hydrograph predictions bat algorithm data scarce basins Wilson flood self-organizing map big data extreme learning machine (ELM) hydroinformatics nonlinear Muskingum model invasive weed optimization rainfall–runoff flood forecasting artificial neural networks flash-flood streamflow predictions precipitation-runoff the upper Yangtze River survey parameters Haraz watershed ANN time series prediction postprocessing flood susceptibility modeling rainfall-runoff deep learning database LSTM network ensemble technique hybrid neural network self-organizing map (SOM) data assimilation particle filter algorithm monthly streamflow forecasting Dongting Lake machine learning methods micro-model stopping criteria Google Maps cultural algorithm wolf pack algorithm flood events urban water bodies Karahan flood St. Venant equations hybrid & hydrologic model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
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Chang Fi-John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Power Electronics in Renewable Energy Systems
| Power Electronics in Renewable Energy Systems |
| Autore | Messo Tuomas |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (604 p.) |
| Soggetto non controllato |
washout filter
turbine and generator unbalanced power grid PV transient dynamics multi-input single output (MISO) permanent magnet synchronous generator (PMSG) static frequency characteristics impedance analysis FACTS devices coordinated control improved additional frequency control experiment resonant controller two-stage photovoltaic power voltage cancellation energy power matching LCL filter adaptive-MPPT (maximum power point tracking) VSC active power filter perturb and observe coordination control voltage-type control multiple VSGs wind power prediction linear quadratic regulator multiport converter (MPC) grid support function power ripple elimination adaptive resonant controller phase space reconstruction sliding mode control impedance emulation photovoltaic systems grid-connected converter SVM photovoltaic generators power grid active front-end converter THD type-4 wind turbine inertia ROCOF microgrid coupled oscillators multilevel power converter DC-AC power converters internal model back-to-back converter duty-ratio constraints selective harmonic mitigation parallel inverters discontinuous conduction mode droop control step size grid-connected inverter short-circuit fault energy router oscillation mitigation improved-VSG (virtual synchronous generator) source and load impedance synchronverter digital signal processor (DSP) TMS320F28335 operation optimization battery-energy storage generator speed control electrical power generation virtual impedance weak grid doubly-fed induction generator grid synchronization Energy Internet open circuit voltage state-of-charge balancing renewable power system control strategies adaptive notch filter (ANF) renewable energy hardware in the loop (HIL) energy storage microgrids inertia and damping characteristics electric vehicle multi-energy complementary static compensator stability battery energy storage system power-hardware-in- the-loop electricity price notch filter time series distorted grid oscillation suppression phase-locked loop (PLL) modules organic Rankine cycle failure zone Opal-RT Technologies® distributed generation modular multilevel converter governor microgrid (MG) second-life battery thermoelectric generator stability analysis wind energy system variable coefficient regulation single ended primary inductor converter (SEPIC) error soft switching power electronics PLL SPWM virtual synchronous generator perturbation frequency phase shifted grid-connected inverter cloud computing low inertia boost converter impedance reshaping small-signal and transient stability speed control multivariate linear regression photovoltaic adaptive control frequency regulation variable power tracking control power converters maximum power point tracking virtual admittance synchronization peak-current-mode control dynamic modeling discontinuous operation mode demand response |
| ISBN | 3-03921-045-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346844203321 |
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Messo Tuomas
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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