arXiv Artificial Intelligence

Model Predictive Control of Hybrid Dynamical Systems

2 hours ago 11.08.2026 07:00 👁 1 views
Model Predictive Control of Hybrid Dynamical Systems

Quick summary

arXiv:2604.21989v2 Announce Type: replace-cross Abstract: The problem of controlling hybrid dynamical systems using model predictive control (MPC) is formulated and sufficient conditions for asymptotic stability of a set are provided. Hybrid dynamical systems are modeled in terms of hybrid equations, involving a differential equation and a difference equation with inputs and constraints. The proposed hybrid MPC algorithm uses a suitable prediction and control horizon construction inspired by hybrid time domains. Structural properties of the hybrid optimization problem, its feasible set, and it

Key takeaways

  • arXiv:2604.21989v2 Announce Type: replace-cross Abstract: The problem of controlling hybrid dynamical systems using model predictive control (MPC) is formulated and sufficient conditions for asymptotic stability of a set are provided.
  • Hybrid dynamical systems are modeled in terms of hybrid equations, involving a differential equation and a difference equation with inputs and constraints.
  • The proposed hybrid MPC algorithm uses a suitable prediction and control horizon construction inspired by hybrid time domains.

Why it matters

“Model Predictive Control of Hybrid Dynamical Systems” should be evaluated beyond branding and benchmark scores. Its practical importance will emerge in task accuracy, latency, unit cost, safety and integration with real workflows.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗