Engineering
Buck Converter
100%
Predictive Control Model
86%
Lithium-Ion Batteries
83%
Control Scheme
80%
Load Power
73%
Energy Storage
66%
Battery (Electrochemical Energy Engineering)
66%
Reinforcement Learning
66%
Artificial Neural Network
57%
State of Charge
53%
Energy Efficiency
46%
Battery Pack
46%
Output Voltage
46%
Fractional-Order
44%
DC Microgrid
44%
Control Strategy
40%
Artificial Neural Network
36%
Magnetic Energy
33%
Learning Approach
33%
Adaptive Control
33%
Temperature Estimation
33%
Fractional-Order Controller
33%
Power Control
33%
Lithium Ion Battery
33%
Battery Energy Storage
33%
Long Short-Term Memory
33%
Grid Impedance
33%
Inverter
33%
Metrics
33%
Boost Converter
33%
Predictive Control
33%
Levenberg-Marquardt Algorithm
33%
Sliding Mode
33%
Active Balancing
33%
Finite Set
33%
Operating Point
32%
Control Systems
26%
Battery Temperature
25%
Power Grid
23%
Microgrid
22%
Key Performance Indicator
22%
Motor Speed
22%
Finite-Control-Set Model Predictive Control
20%
Controller Gain
19%
Power Engineering
19%
Control Parameter
17%
Battery System
15%
Control Loop
15%
Artificial Intelligence
13%
Battery Management System
13%
Keyphrases
DC-DC Buck Converter
50%
Smart Battery
50%
Constant Power Load
44%
Learning-based
44%
Sensorless
41%
Brain Emotional Learning Based Intelligent Controller (BELBIC)
33%
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%
Intelligent Cell
33%
Physics-aware
33%
Speed Control Strategy
33%
DC Motor
33%
Actor-critic Deep Reinforcement Learning
33%
Data Center Management
33%
Sliding Mode Predictive Control
33%
Adaptive Regulation
33%
Converter Control System
27%
Point Conditions
27%
Operating Point
27%
Bidirectional Long Short-term Memory (BiLSTM)
25%
Reinforcement Learning Problems
22%
Lithium-ion Battery
22%
Battery Impedance
19%
Battery System
19%
Estimation Method
19%
Fractional Order PID (FOPID)
16%
Artificial Neural Network
16%
Constant Gain
16%
Power Load
16%
Hybrid Controller
16%
Backstepping Controller
16%
Online Adaptation
16%
Impedance Model
16%
