linear discrete-time systems 1non-convex constraints 1real-time control 1reference governor 1safe set computation 1
From the 1 of 3 linked papers with an AI index.
3 papers
eess.SY2026
Dynamically Feasible Planning and Control in Complex Environments: a Scalable Systematic Approach
Miguel Castroviejo-Fernandez, Ilya Kolmanovsky
The paper proposes a method to compute safe sets for linear discrete-time systems with non‑convex, polytopic constraints and uses a reference governor to ensure safe reference trac…
eess.SY2026
Distributionally Robust Planning with Adaptive Control
Astghik Hakobyan, Amaras Nazarians, Aditya Gahlawat +2
Safe operation of autonomous systems requires robustness to both model uncertainty and uncertainty in the environment. We propose DRP-AC, a hierarchical framework fo…
eess.SY2026
Robust Adaptive MPC in the Presence of Nonlinear Time-Varying Uncertainties: An Uncertainty Compensation Approach
Ran Tao, Pan Zhao, Ilya Kolmanovsky +1
This paper introduces an uncertainty compensation-based robust adaptive model predictive control (MPC) framework for linear systems with nonlinear time-varying uncertainties. The f…