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Stochastic Nonlinear MPC with Gaussian Mixture Uncertainty Propagation
US & West ·
A new stochastic nonlinear model predictive control method for systems with additive noise is proposed. State distribution is approximated by Gaussian mixture with error bounds in Wasserstein distance. This yields closed-form expressions for expected costs and chance constraints, and the problem is solvable via nonlinear programming with correctness guarantees.
Why it matters
The method improves efficiency and robustness of control under uncertainty, relevant for managing large systems with stochastic disturbances.
В Северной Осетии активно внедряют умные технологии для контроля дорожной сети. Камеры фиксируют нарушения, на трассах работают пункты весогабаритного контроля, а во Владикавказе создаётся цифровой двойник города. Пассажиры смогут отслеживать движение трамваев в приложении.
Realistic household simulation must capture not only diverse environments but also the lived-in object arrangements and spatial constraints that shape robot motion and interaction. Existing resources often trade off scale, real-world correspondence, and interaction readiness, leaving a gap in…
arXiv:2610.09789v1 Announce Type: new Abstract: Cooperative behavior can improve environmental quality, whereas selfish defection can degrade shared resources. In a recent agent-based study of the Aksum civilization (Vasellini et al., 2025), a population of agents moving over a reconstructed…