87 citations · 129 across the 19 of their papers we have counts for
7 papers · 1 filter
Experiment design for impulse response identification with signal matrix models
Andrea Iannelli, Mingzhou Yin, Roy S. Smith
This paper formulates an input design approach for truncated infinite impulse response identification in the context of implicit model representations recently used as basis for da…
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
The paper presents a data-driven predictive control framework based on an implicit input-output mapping derived directly from the signal matrix of collected data. This signal matri…
Maximum Likelihood Estimation in Data-Driven Modeling and Control
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Recently, various algorithms for data-driven simulation and control have been proposed based on the Willems' fundamental lemma. However, when collected data are noisy, these method…
Learning Dynamical Systems using Local Stability Priors
Arash Mehrjou, Andrea Iannelli, Bernhard Schölkopf
A coupled computational approach to simultaneously learn a vector field and the region of attraction of an equilibrium point from generated trajectories of the system is proposed.…
Subspace Identification of Linear Time-Periodic Systems with Periodic Inputs
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
This paper proposes a new methodology for subspace identification of linear time-periodic (LTP) systems with periodic inputs. This method overcomes the issues related to the comput…
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…