1 citations · 1 across the 4 of their papers we have counts for
6 papers
Configuration-Constrained Tube MPC for Periodic Operation
Filippo Badalamenti, Jose A. Borja-Conde, Sampath Kumar Mulagaleti +3
Periodic operation often emerges as the economically optimal mode in industrial processes, particularly under varying economic or environmental conditions. This paper proposes a ro…
A Regularization and Active Learning Method for Identification of Quasi Linear Parameter Varying Systems
Sampath Kumar Mulagaleti, Alberto Bemporad
This paper proposes an active learning method for designing experiments to identify quasi-Linear Parameter-Varying (qLPV) models. Since informative experiments are costly, input si…
Sample Efficient Certification of Discrete-Time Control Barrier Functions
Sampath Kumar Mulagaleti, Andrea Del Prete
Control Invariant (CI) sets are instrumental in certifying the safety of dynamical systems. Control Barrier Functions (CBFs) are effective tools to compute such sets, since the zer…
Efficient Configuration-Constrained Tube MPC via Variables Restriction and Template Selection
Filippo Badalamenti, Sampath Kumar Mulagaleti, Mario Eduardo Villanueva +2
Configuration-Constrained Tube Model Predictive Control (CCTMPC) offers flexibility by using a polytopic parameterization of invariant sets and the optimization of an associated ve…
Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness
Sampath Kumar Mulagaleti, Alberto Bemporad
We present an approach to identify a quasi Linear Parameter Varying (qLPV) model of a plant, with the qLPV model guaranteed to admit a robust control invariant (RCI) set. It builds…
Combined Learning of Linear Parameter-Varying Models and Robust Control Invariant Sets
Sampath Kumar Mulagaleti, Alberto Bemporad
Dynamical models identified from data are frequently employed in control system design. However, decoupling system identification from controller synthesis can result in situations…