87 citations · 129 across the 19 of their papers we have counts for
11 papers · 1 filter
Dual adaptive MPC using an exact set-membership reformulation
Anilkumar Parsi, Diyou Liu, Andrea Iannelli +1
Adaptive model predictive control (MPC) methods using set-membership identification to reduce parameter uncertainty are considered in this work. Strong duality is used to reformula…
Implications of Regret on Stability of Linear Dynamical Systems
Aren Karapetyan, Anastasios Tsiamis, Efe C. Balta +2
The setting of an agent making decisions under uncertainty and under dynamic constraints is common for the fields of optimal control, reinforcement learning, and recently also for…
A quantitative and constructive proof of Willems' Fundamental Lemma and its implications
Julian Berberich, Andrea Iannelli, Alberto Padoan +3
Willems' Fundamental Lemma provides a powerful data-driven parametrization of all trajectories of a controllable linear time-invariant system based on one trajectory with persisten…
Stochastic MPC with robustness to bounded parametric uncertainty
Elena Arcari, Andrea Iannelli, Andrea Carron +1
The performance of model-based control techniques strongly depends on the quality of the employed dynamics model. If strong guarantees are desired, it is therefore common to robust…
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch
Efe C. Balta, Andrea Iannelli, Roy S. Smith +1
In Iterative Learning Control (ILC), a sequence of feedforward control actions is generated at each iteration on the basis of partial model knowledge and past measurements with the…
Computationally efficient robust MPC using optimized constraint tightening
Anilkumar Parsi, Panagiotis Anagnostaras, Andrea Iannelli +1
A robust model predictive control (MPC) method is presented for linear, time-invariant systems affected by bounded additive disturbances. The main contribution is the offline desig…
Scalable tube model predictive control of uncertain linear systems using ellipsoidal sets
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
This work proposes a novel robust model predictive control (MPC) algorithm for linear systems affected by dynamic model uncertainty and exogenous disturbances. The uncertainty is m…
Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models
Defne E. Ozan, Mingzhou Yin, Andrea Iannelli +1
Limit cycle oscillations are phenomena arising in nonlinear dynamical systems and characterized by periodic, locally-stable, and self-sustained state trajectories. Systems controll…
On the Regret of Control
Aren Karapetyan, Andrea Iannelli, John Lygeros
The synthesis approach is a cornerstone robust control design technique, but is known to be conservative in some cases. The objective of this paper is to qua…
Infinite-Dimensional Sparse Learning in Linear System Identification
Mingzhou Yin, Mehmet Tolga Akan, Andrea Iannelli +1
Regularized methods have been widely applied to system identification problems without known model structures. This paper proposes an infinite-dimensional sparse learning algorithm…
An explicit dual control approach for constrained reference tracking of uncertain linear systems
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
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 s…