activity
20152024
most citedData-Driven Control for Linear Discrete-Time Delay Systems

111 citations · 117 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2024

A robust consensus + innovations-based distributed parameter estimator

Nicolai Lorenz-Meyer, Juan G. Rueda-Escobedo, Jaime A. Moreno +1

While distributed parameter estimation has been extensively studied in the literature, little has been achieved in terms of robust analysis and tuning methods in the presence of di…

eess.SY2021

Strong Detectability and Observers for Linear Time Varying Systems

Markus Tranninger, Richard Seeber, Juan G. Rueda-Escobedo +1

This work presents a notion of strong detectability for linear time varying systems affected by unknown inputs. It is shown that this notion is equivalent to detectability of an au…

math.OC2020★ 111 cited

Data-Driven Control for Linear Discrete-Time Delay Systems

Juan G. Rueda-Escobedo, Emilia Fridman, Johannes Schiffer

The increasing ease of obtaining and processing data together with the growth in system complexity has sparked the interest in moving from conventional model-based control design t…

math.OC2020

Data-Driven Internal Model Control of Second-Order Discrete Volterra Systems

Juan G. Rueda-Escobedo, Johannes Schiffer

The increase in system complexity paired with a growing availability of operational data has motivated a change in the traditional control design paradigm. Instead of modeling the…

math.OC2015★ 6 cited

Non-linear Gradient Algorithm for Parameter Estimation: Extended version

Juan G. Rueda-Escobedo, Jaime A. Moreno

Gradient algorithms are classical in adaptive control and parameter estimation. For instantaneous quadratic cost functions they lead to a linear time-varying dynamic system that co…