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Adaptive MPC for ground vehicles: review and implementation
US & West ·
A review of adaptive model predictive control (AMPC) methods for autonomous vehicles is provided. Strategies that dynamically adapt the model, cost function, constraints, or prediction horizon based on real-time data are considered. It is shown that AMPC overcomes the limitations of traditional MPC in dynamic environments.
Why it matters
The review systematizes approaches to adaptive control, which is useful for developing robust control systems under uncertainty.
arXiv:2506.22406v3 Announce Type: replace Abstract: Economic Model Predictive Control (EMPC) optimizes economic performance over a prediction horizon rather than stabilizing to a reference, making it attractive for microgrid (MG) dispatch.
arXiv:2609.06636v1 Announce Type: new Abstract: Fine-grained mobile traffic demand forecasting is essential for long-term planning of 5G and future 6G networks, including radio upgrades, site densification, backhaul expansion, and spectrum activation.
arXiv:2609.06698v1 Announce Type: new Abstract: For energy-efficient building control, model predictive control (MPC) has been widely proposed to reduce energy use while maintaining prescribed indoor temperature bounds.
