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Dual-Loop Robust Control of Biased Koopman Operator Model by Noisy Data of Nonlinear Systems
The current work evaluates the bounds of the noise-induced model bias of the Koopman operator model and proposes a data-driven robust dual-loop control framework (Koopman based robust control-KROC) for the biased model.
Data-Driven Reduced-Order Aeroelastic Modeling of Highly Flexible Aircraft by Parametric Dynamic Mode Decomposition
The results demonstrate that the current p-DMD modeling method can capture the aeroelastic and flight dynamic responses of highly flexible aircraft in both time and frequency domains.
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC
With the nonlinear dynamic model of a wheel loader, nonlinear model predictive control (MPC) is used in offline trajectory planning to obtain a high-performance state-control trajectory while satisfying the state and control constraints.
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