87 citations · 306 across the 31 of their papers we have counts for
48 papers
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…
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…
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Recently, direct data-driven prediction has found important applications for controlling unknown systems, particularly in predictive control. Such an approach provides exact predic…
Kernel-Based Identification with Frequency Domain Side-Information
Mohammad Khosravi, Roy S. Smith
In this paper, we discuss the problem of system identification when frequency domain side information is available on the system. Initially, we consider the case where the prior kn…