7 papers
Design of input for data-driven simulation with Hankel and Page matrices
Andrea Iannelli, Mingzhou Yin, Roy S. Smith
The paper deals with the problem of designing informative input trajectories for data-driven simulation. First, the excitation requirements in the case of noise-free data are discu…
On Low-Rank Hankel Matrix Denoising
Mingzhou Yin, Roy S. Smith
The low-complexity assumption in linear systems can often be expressed as rank deficiency in data matrices with generalized Hankel structure. This makes it possible to denoise the…
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…
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…
Probabilistic Flight Envelope Estimation with Application to Unstable Overactuated Aircraft
Mingzhou Yin, Q. P. Chu, Y. Zhang +2
This paper proposes a novel and practical framework for safe flight envelope estimation and protection, in order to prevent loss-of-control-related accidents. Conventional analytic…