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Hybrid control architecture for safe vehicle lateral control
US & West ·
A hybrid architecture combining a trained Soft Actor-Critic (SAC) policy and linear MPC is presented for vehicle steering control. Using the first-step optimum of MPC as an anchor and a monotone blending coefficient allows combining the adaptability of learning with MPC's safety guarantees.
Why it matters
Important for developing reliable automated driving systems that require accuracy, low effort, and safety simultaneously.
Growing interest in in-space servicing, manufacturing, and assembly has renewed attention on reliable metal joining for modular construction and on-orbit repair. Robotic welding is promising, but reduced-gravity and low-pressure operation remains poorly characterised and flight-like tests are…
arXiv:2610.18311v1 Announce Type: cross Abstract: Industrial Control Systems run on static network configurations, which leaves an attacker unlimited time to map the plant. Moving Target Defense answers this by shuffling addresses, but almost every published scheme never checks whether the…
arXiv:2610.17274v1 Announce Type: new Abstract: Model reduction can substantially reduce the computational burden of model predictive control (MPC) for high-dimensional systems, but a reduced dimension chosen for performance may be insufficient for safety-critical operation.