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A biologically-inspired approach for adaptive control of advanced energy systems.
Gaurav Mirlekar
Ghassan Al-Sinbol
Mario G. Perhinschi
Fernando V. Lima
Published in:
Comput. Chem. Eng. (2018)
Keyphrases
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biologically inspired
adaptive control
biological systems
receptive fields
control method
biologically plausible
computer vision
nonlinear systems
feedback control
reinforcement learning
path planning
learning rules
motor control
potential field