157 citations · 589 across the 64 of their papers we have counts for
4 papers · 1 filter
Data-driven control of nonlinear systems from input-output data
Xiaoyan Dai, Claudio De Persis, Nima Monshizadeh +1
The design of controllers from data for nonlinear systems is a challenging problem. In a recent paper, De Persis, Rotulo and Tesi, "Learning controllers from data via approximate n…
Data-driven input-to-state stabilization with respect to measurement errors
Hailong Chen, Andrea Bisoffi, Claudio De Persis
We consider noisy input/state data collected from an experiment on a polynomial input-affine nonlinear system. Motivated by event-triggered control, we provide data-based condition…
Feedback linearization through the lens of data
C. De Persis, D. Gadginmath, F. Pasqualetti +1
Controlling nonlinear systems, especially when data are being used to offset uncertainties in the model, is hard. A natural approach when dealing with the challenges of nonlinear c…
Learning controllers from data via kernel-based interpolation
Zhongjie Hu, Claudio De Persis, Pietro Tesi
We propose a data-driven control design method for nonlinear systems that builds on kernel-based interpolation. Under some assumptions on the system dynamics, kernel-based function…