Context Aware Controller Inference For Stabilizing Dynamical Systems

Context Aware Controller Inference For Stabilizing Dynamical Systems This work introduces a data driven control approach for stabilizing high dimensional dynamical systems from scarce data. the proposed context aware controller inference approach is based on the observation that controllers need to act locally only on the unstable dynamics to stabilize systems. We introduce context aware controller inference, which is a new data driven approach for learning stabilizing controllers from scarce data and that is applicable to systems with nonlinear dynamics.

Context Aware Controller Inference For Stabilizing Dynamical Systems Numerical experiments demonstrate that context aware controller inference learns stabilizing controllers from orders of magnitude fewer data samples than traditional data driven control. This work introduces a data driven control approach for stabilizing high dimensional dynamical systems from scarce data. the proposed context aware controller inference approach is based on the observation that controllers need to act locally only on the unstable dynamics to stabilize systems. This work introduces a data driven control approach for stabilizing high dimensional dynamical systems from scarce data. the proposed context aware controller inference approach is based on the observation that controllers need to act locally only on the unstable dynamics to stabilize systems. Code, data and results for numerical experiments in "context aware controller inference for stabilizing dynamical systems from scarce data".

An Context Aware Management And Control Mechanism In A Mobile This work introduces a data driven control approach for stabilizing high dimensional dynamical systems from scarce data. the proposed context aware controller inference approach is based on the observation that controllers need to act locally only on the unstable dynamics to stabilize systems. Code, data and results for numerical experiments in "context aware controller inference for stabilizing dynamical systems from scarce data".