model predictive control 2parameter estimation 2input constraints 1learning-based control 1linear systems 1non-asymptotic analysis 1robust control 1stochastic disturbances 1tube MPC 1
From the 2 of 2 linked papers with an AI index.
2 papers
eess.SY2026
Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise
Changyi Lei, Seth Siriya, Dragan NeÅ¡iÄ +1
The paper proposes a certainty‑equivalence, switching model predictive control scheme that learns unknown linear dynamics online via regularized least‑squares, handling hard input…
eess.SY2026
Learning-based Homothetic Tube MPC with Non-Asymptotic Guarantees
Changyi Lei, Seth Siriya, Dragan NeÅ¡iÄ +1
The paper proposes a model predictive control method that builds a confidence set for unknown linear system parameters using regularized least‑squares, and incorporates this set in…