34 citations · 106 across the 32 of their papers we have counts for
6 papers · 1 filter
On data-driven control: informativity of noisy input-output data with cross-covariance bounds
Tom R. V. Steentjes, Mircea Lazar, Paul M. J. Van den Hof
In this paper we develop new data informativity based controller synthesis methods that extend existing frameworks in two relevant directions: a more general noise characterization…
Data-driven predictive control with estimated prediction matrices and integral action
P. C. N. Verheijen, G. R. Gonçalves da Silva, M. Lazar
This paper presents a data-driven approach to the design of predictive controllers. The prediction matrices utilized in standard model predictive control (MPC) algorithms are typic…
Design and assessment of an eco--driving PMP algorithm for optimal deceleration and gear shifting in trucks
B. Wingelaar, G. R. Gonçalves da Silva, M. Lazar +2
In this paper, an eco--driving Pontryagin maximum principle (PMP) algorithm is designed for optimal deceleration and gear shifting in trucks based on switching among a finite set o…
Guaranteed performance analysis and controller synthesis for interconnected linear systems from noisy input-state data
Tom R. V. Steentjes, Mircea Lazar, Paul M. J. Van den Hof
The increase in available data and complexity of dynamical systems has sparked the research on data-based system performance analysis and controller design. Recent approaches can g…
Stabilization of discrete-time nonlinear systems based on control dissipation functions
Mircea Lazar
This paper develops a dissipativity-based framework for synthesis of stabilizing controllers for discrete-time nonlinear systems subject to state/input constraints. Firstly, we rev…
Physics-Guided Neural Networks for Inversion-based Feedforward Control applied to Linear Motors
Max Bolderman, Mircea Lazar, Hans Butler
Ever-increasing throughput specifications in semiconductor manufacturing require operating high-precision mechatronics, such as linear motors, at higher accelerations. In turn this…