Engineering
Buck Converter
100%
Energy Storage
100%
Fractional-Order
77%
Load Power
73%
Artificial Neural Network
71%
Battery (Electrochemical Energy Engineering)
66%
Magnetic Energy
66%
Lithium-Ion Batteries
50%
Control Scheme
46%
DC Microgrid
44%
Output Voltage
40%
Artificial Neural Network
36%
Learning Approach
33%
Adaptive Control
33%
Temperature Estimation
33%
Fractional-Order Controller
33%
Power Control
33%
Reinforcement Learning
33%
Predictive Control Model
33%
Lithium Ion Battery
33%
Battery Energy Storage
33%
Battery Pack
33%
Operating Point
32%
Artificial Intelligence
26%
Control Systems
26%
Battery Temperature
25%
Microgrid
22%
Power Grid
21%
Finite-Control-Set Model Predictive Control
20%
State of Charge
20%
Controller Gain
19%
Control Parameter
17%
Battery System
15%
Control Loop
15%
Energy Storage System
13%
Settling Time
13%
Energy Conservation
13%
Energy Efficiency
13%
Modern System
13%
Efficient Management
13%
Energy Storage System Control
13%
Battery Management System
13%
Power Electronic Device
11%
Simulators
11%
Dc Voltage
11%
Dc Converter
11%
Load Condition
11%
Controller Parameter
11%
Derivative Controller
11%
Simulation Time
11%
Keyphrases
DC-DC Buck Converter
50%
Smart Battery
50%
Fractional Order PID (FOPID)
50%
Constant Power Load
44%
Sensorless
41%
Buck Converter
33%
Synchronous Power Control
33%
Multi-agent Deep Reinforcement Learning (MADRL)
33%
Li-ion Battery
33%
Reinforcement Learning Approach
33%
Impedance Estimation
33%
Output Voltage
33%
Weight Coefficient
33%
Controller
33%
Intelligent Adaptive Control
33%
Electrochemical Impedance
33%
DC Microgrid
33%
Finite Control Set Model Predictive Control (FCS-MPC)
33%
Deep Reinforcement Learning (Deep RL)
33%
Temperature Estimation
33%
Battery Temperature
33%
Iterative Learning Model Predictive Control (ILMPC)
33%
Digital Twin
33%
Fractional Order Controller
33%
Brain Emotional Learning Based Intelligent Controller (BELBIC)
33%
Superconducting Magnetic Energy Storage
33%
Intelligent Cell
33%
Physics-aware
33%
Artificial Neural Network
30%
Converter Control System
27%
Point Conditions
27%
Operating Point
27%
Reinforcement Learning Problems
22%
Lithium-ion Battery
22%
Battery Impedance
19%
Battery System
19%
Estimation Method
19%
Constant Gain
16%
Power Load
16%
Hybrid Controller
16%
Backstepping Controller
16%
Online Adaptation
16%
Impedance Model
16%
Tilt-integral-derivative
16%
Controller Gain
16%
Time-dependent Simulation
16%
Neural Network Tuning
13%
Learning-based
11%
Policy Gradient Method
11%
Optimal Weights
11%
