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PID Tuning using Cross-Entropy Deep Learning: a Lyapunov Stability Analysis
We perform this stability analysis on a LB adaptive control system whose adaptive parameters are determined using a Cross-Entropy Deep Learning method.
Sim-to-Real Transfer of Adaptive Control Parameters for AUV Stabilization under Current Disturbance
Learning-based adaptive control methods hold the premise of enabling autonomous agents to reduce the effect of process variations with minimal human intervention.
Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust
We compare it, in realistic simulations, to a model-free controller that uses the same deep reinforcement learning framework for the control of a micro aerial vehicle under wind gust.
Learning sparse structures for physics-inspired compressed sensing
Estimating these wavenumbers is of key interest to understand the propagating environment as well as the emitting source.
