Stochastic MPC with robustness to bounded parameteric uncertainty
E Arcari, A Iannelli, A Carron… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we present a stochastic model predictive control approach for discrete-time LTI
systems subject to bounded parameteric uncertainty and potentially unbounded stochastic …
systems subject to bounded parameteric uncertainty and potentially unbounded stochastic …
Learning the uncertainty sets of linear control systems via set membership: A non-asymptotic analysis
This paper studies uncertainty set estimation for unknown linear systems. Uncertainty sets
are crucial for the quality of robust control since they directly influence the conservativeness …
are crucial for the quality of robust control since they directly influence the conservativeness …
An explicit dual control approach for constrained reference tracking of uncertain linear systems
A Parsi, A Iannelli, RS Smith - IEEE Transactions on Automatic …, 2022 - ieeexplore.ieee.org
A finite horizon optimal tracking problem is considered for linear dynamical systems subject
to parametric uncertainties in the state-space matrices and exogenous disturbances. A …
to parametric uncertainties in the state-space matrices and exogenous disturbances. A …
Adaptive robust tracking control with active learning for linear systems with ellipsoidal bounded uncertainties
This article is concerned with the robust tracking control of linear uncertain systems, whose
unknown system parameters and disturbances are bounded within ellipsoidal sets. We …
unknown system parameters and disturbances are bounded within ellipsoidal sets. We …
Learning the uncertainty sets for control dynamics via set membership: A non-asymptotic analysis
This paper studies uncertainty set estimation for unknown linear systems. Uncertainty sets
are crucial for the quality of robust control since they directly influence the conservativeness …
are crucial for the quality of robust control since they directly influence the conservativeness …
Safe navigation in unstructured environments by minimizing uncertainty in control and perception
Uncertainty in control and perception poses challenges for autonomous vehicle navigation
in unstructured environments, leading to navigation failures and potential vehicle damage …
in unstructured environments, leading to navigation failures and potential vehicle damage …
On the convergence rates of set membership estimation of linear systems with disturbances bounded by general convex sets
H Xu, Y Li - arxiv preprint arxiv:2406.00574, 2024 - arxiv.org
This paper studies the uncertainty set estimation of system parameters of linear dynamical
systems with bounded disturbances, which is motivated by robust (adaptive) constrained …
systems with bounded disturbances, which is motivated by robust (adaptive) constrained …
Robust MPC for linear systems with parametric and additive uncertainty: A novel constraint tightening approach
M Bujarbaruah, U Rosolia, YR Stürz, X Zhang… - arxiv preprint arxiv …, 2020 - arxiv.org
We propose a novel approach to design a robust Model Predictive Controller (MPC) for
constrained uncertain linear systems. The uncertain system is modeled as linear parameter …
constrained uncertain linear systems. The uncertain system is modeled as linear parameter …
A distributed framework for linear adaptive MPC
A Parsi, A Aboudonia, A Iannelli… - 2021 60th IEEE …, 2021 - ieeexplore.ieee.org
Adaptive model predictive control (MPC) robustly ensures safety while reducing uncertainty
during operation. In this paper, a distributed version is proposed to deal with network …
during operation. In this paper, a distributed version is proposed to deal with network …
[ספר][B] Safe and Scalable Learning-Based Control: Theory and Application in Sustainable Energy Systems
J Yu - 2025 - search.proquest.com
From intelligent transportation systems to the smart grid, the next generation of cyber-
physical systems (CPS) will substantially transform our society. It is vital that these systems …
physical systems (CPS) will substantially transform our society. It is vital that these systems …