Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning.
Mohammad JafariVahid SarfiAmir GhasemkhaniHanif LivaniLei YangHao XuPublished in: CoRR (2019)
Keyphrases
- biologically inspired
- reinforcement learning
- adaptive control
- receptive fields
- control problems
- biologically plausible
- sensory motor
- adaptive systems
- optimal control
- learning capabilities
- motor control
- biological systems
- potential field
- control policy
- scene classification
- sensory inputs
- humanoid robot
- learning rules
- control system
- learning algorithm
- spiking neural networks
- image segmentation
- robot control
- function approximation
- robotic systems
- action selection
- model free
- fuzzy logic
- recurrent networks
- state space
- multiscale
- visual attention model