8 citations · 8 across the 3 of their papers we have counts for
10 papers
Once upon a time step: A closed-loop approach to robust MPC design
Anilkumar Parsi, Marcell Bartos, Amber Srivastava +2
A novel perspective on the design of robust model predictive control (MPC) methods is presented, whereby closed-loop constraint satisfaction is ensured using recursive feasibility…
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…
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…
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…
A distributed framework for linear adaptive MPC
Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli +2
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 s…
Robust Adaptive Model Predictive Control of Quadrotors
Alexandre Didier, Anilkumar Parsi, Jeremy Coulson +1
Robust adaptive model predictive control (RAMPC) is a novel control method that combines robustness guarantees with respect to unknown parameters and bounded disturbances into a mo…
Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization
Mingzhou Yin, Andrea Iannelli, Mohammad Khosravi +2
This paper proposes a new methodology in linear time-periodic (LTP) system identification. In contrast to previous methods that totally separate dynamics at different tag times for…
Active exploration in adaptive model predictive control
Anilkumar Parsi, Andrea Iannelli, Roy S. Smith
A dual adaptive model predictive control (MPC) algorithm is presented for linear, time-invariant systems subject to bounded disturbances and parametric uncertainty in the state-spa…
Robust Adaptive Model Predictive Control with Worst-Case Cost
Anilkumar Parsi, Andrea Iannelli, Mingzhou Yin +2
A robust adaptive model predictive control (MPC) algorithm is presented for linear, time invariant systems with unknown dynamics and subject to bounded measurement noise. The syste…