157 citations · 589 across the 64 of their papers we have counts for
45 papers · 1 filter
Event-triggered control of nonlinear systems from data
Hailong Chen, Claudio De Persis, Andrea Bisoffi +1
In a recent paper [8], we introduced a data-based approach to design event-triggered controllers for linear systems directly from data. Here, we extend the results in [8] to a clas…
Data-driven harmonic output regulation of a class of nonlinear systems
Zhongjie Hu, Claudio De Persis, John W. Simpson-Porco +1
The paper deals with the data-based design of state-feedback controllers that solve the output regulation problem for a class of nonlinear systems. Inspired by recent developments…
A Versatile Framework for Data-Driven Control of Nonlinear Systems
Nima Monshizadeh, Claudio De Persis, Pietro Tesi
This note aims to provide a systematic investigation of direct data-driven control, enriching the existing literature not by adding another isolated result, but rather by offering…
Setpoint control of bilinear systems from noisy data
Andrea Bisoffi, Dominiek M. Steeman, Claudio De Persis
We consider the problem of designing a controller for an unknown bilinear system using only noisy input-states data points generated by it. The controller should achieve regulation…
Controller Synthesis from Noisy-Input Noisy-Output Data
Lidong Li, Andrea Bisoffi, Claudio De Persis +1
We consider the problem of synthesizing a dynamic output-feedback controller for a linear system, using solely input-output data corrupted by measurement noise. To handle input-out…
Controller synthesis for input-state data with measurement errors
Andrea Bisoffi, Lidong Li, Claudio De Persis +1
We consider the problem of designing a state-feedback controller for a linear system, based only on noisy input-state data. We focus on input-state data corrupted by measurement er…
Enforcing contraction via data
Zhongjie Hu, Claudio De Persis, Pietro Tesi
We present data-based conditions for enforcing contractivity via feedback control and obtain desired asymptotic properties of the closed-loop system. We focus on unknown nonlinear…
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…
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…
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…
Data-driven design of safe control for polynomial systems
Alessandro Luppi, Andrea Bisoffi, Claudio De Persis +1
We consider the problem of designing an invariant set using only a finite set of input-state data collected from an unknown polynomial system in continuous time. We consider noisy…
Learning controllers for performance through LMI regions
Andrea Bisoffi, Claudio De Persis, Pietro Tesi
In an open-loop experiment, an input sequence is applied to an unknown linear time-invariant system (in continuous or discrete time) affected also by an unknown-but-bounded disturb…
Data-driven control via Petersen's lemma
Andrea Bisoffi, Claudio De Persis, Pietro Tesi
We address the problem of designing a stabilizing closed-loop control law directly from input and state measurements collected in an open-loop experiment. In the presence of noise…
Controller design for robust invariance from noisy data
Andrea Bisoffi, Claudio De Persis, Pietro Tesi
For an unknown linear system, starting from noisy open-loop input-state data collected during a finite-length experiment, we directly design a linear feedback controller that guara…
Data-based guarantees of set invariance properties
Andrea Bisoffi, Claudio De Persis, Pietro Tesi
For a discrete-time linear system, we use data from a single open-loop experiment to design directly a feedback controller enforcing that a given (polyhedral) set of the state is i…
Bias estimation in sensor networks
Mingming Shi, Claudio De Persis, Pietro Tesi +1
This paper investigates the problem of estimating biases affecting relative state measurements in a sensor network. Each sensor measures the relative states of its neighbors and th…
Formulas for Data-driven Control: Stabilization, Optimality and Robustness
Claudio De Persis, Pietro Tesi
In a paper by Willems and coauthors it was shown that persistently exciting data can be used to represent the input-output behavior of a linear system. Based on this fundamental re…
Data Rates for Stabilizing Control under Denial-of-Service Attacks
Shuai Feng, Ahmet Cetinkaya, Hideaki Ishii +2
We study communication-constrained networked control problems for linear time-invariant systems in the presence of Denial-of-Service (DoS) attacks, namely attacks that prevent tran…
An energy-based analysis of reduced-order models of (networked) synchronous machines
T. W. Stegink, C. De Persis, A. J. van der Schaft
Stability of power networks is an increasingly important topic because of the high penetration of renewable distributed generation units. This requires the development of advanced…
Self-Triggered Network Coordination over Noisy Communication Channels
Mingming Shi, Pietro Tesi, Claudio De Persis
This paper investigates coordination problems over packet-based communication channels. We consider the scenario in which the communication between network nodes is corrupted by un…
Resilience against Misbehaving Nodes in Asynchronous Networks
D. Senejohnny, S. Sundaram, C. De Persis +1
Network systems are one of the most active research areas in the engineering community as they feature a paradigm shift from centralized to distributed control and computation. Whe…