Mamba-MPC stabilizes and tracks references on SISO and MIMO systems in simulation and hardware while outperforming LSTM-MPC with faster computation.
Cheap orthogonal constraints in neural networks: A simple parametrization of the orthogonal and unitary group
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A vector-quantized autoencoder learns minimal control codebooks for forward invariance in sampled-data control, achieving 157x reduction over grid baselines on a 12D quadrotor model.
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Mamba Sequence Modeling meets Model Predictive Control
Mamba-MPC stabilizes and tracks references on SISO and MIMO systems in simulation and hardware while outperforming LSTM-MPC with faster computation.
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Minimal Information Control Invariance via Vector Quantization
A vector-quantized autoencoder learns minimal control codebooks for forward invariance in sampled-data control, achieving 157x reduction over grid baselines on a 12D quadrotor model.