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 3 linked papers with an AI index.
3 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…
eess.SY2025
A Framework for Adaptive Stabilisation of Nonlinear Stochastic Systems
Seth Siriya, Jingge Zhu, Dragan NeÅ¡iÄ +1
We consider the adaptive control problem for discrete-time, nonlinear stochastic systems with linearly parameterised uncertainty. Assuming access to a parameterised family of contr…