2 citations · 2 across the 3 of their papers we have counts for
3 papers
math.OC2026
Efficient sparse GP-MPC with accurate mean and variance propagation applied for quadcopter flight control
Giannis Badakis, Mircea Lazar, Roland Toth
This paper presents a computationally efficient approach for Gaussian process model predictive control (GP-MPC), where Gaussian process (GP) regression is used to complement a base…
math.OC2026
Mamba Sequence Modeling meets Model Predictive Control
Michiel Cevaal, Thomas de Jong, Mircea Lazar
In this paper, we consider the design of Model Predictive Control (MPC) algorithms based on Mamba neural networks. Mamba is a neural network architecture capable of sub-quadratic c…
eess.SY2023★ 2 cited
Basis functions nonlinear data-enabled predictive control: Consistent and computationally efficient formulations
Mircea Lazar
This paper considers the extension of data-enabled predictive control (DeePC) to nonlinear systems via general basis functions. Firstly, we formulate a basis functions DeePC behavi…