2 papers
eess.SY2026
When expectation fails: stochastic MPC of linear systems with random input losses
Paul Trodden, Xinda Li
We consider stochastic model predictive control (MPC) for constrained linear systems subject to multiplicative binary input uncertainty, motivated by applications such as networked…
eess.SY2025
NISE-PE Constraint: Data-Driven Predictive Control with Persistence of Excitation
Lucca Heinze Faro, Yuanbo Nie, Paul Trodden
Persistence of excitation (PE) is an important requirement for the successful operation of data-driven predictive control, as it ensures that the input-output data contains suffici…