157 citations · 551 across the 47 of their papers we have counts for
4 papers · 1 filter
Data-based Transfer Stabilization in Linear Systems
Lidong Li, Claudio De Persis, Pietro Tesi +1
We present a novel framework for transferring the knowledge from one system (source) to design a stabilizing controller for a second system (target). Our motivation stems from the…
Data-driven stabilizer design and closed-loop analysis of general nonlinear systems via Taylor's expansion
Meichen Guo, Claudio De Persis, Pietro Tesi
For data-driven control of nonlinear systems, the basis functions characterizing the dynamics are usually essential. In existing works, the basis functions are often carefully chos…
Event-triggered Control From Data
Claudio De Persis, Romain Postoyan, Pietro Tesi
We present a data-based approach to design event-triggered state-feedback controllers for unknown continuous-time linear systems affected by disturbances. By an event, we mean stat…
Learning Controllers from Data via Approximate Nonlinearity Cancellation
Claudio De Persis, Monica Rotulo, Pietro Tesi
We introduce a method to deal with the data-driven control design of nonlinear systems. We derive conditions to design controllers via (approximate) nonlinearity cancellation. Thes…