91 citations · 213 across the 33 of their papers we have counts for
12 papers · 1 filter
Policy Optimization for PDE Control with a Warm Start
Xiangyuan Zhang, Saviz Mowlavi, Mouhacine Benosman +1
Dimensionality reduction is crucial for controlling nonlinear partial differential equations (PDE) through a "reduce-then-design" strategy, which identifies a reduced-order model a…
Dual parametric and state estimation for partial differential equations
Saviz Mowlavi, Mouhacine Benosman
Designing estimation algorithms for systems governed by partial differential equations (PDEs) such as fluid flows is challenging due to the high-dimensional and oftentimes nonlinea…
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi +2
We introduce controlgym, a library of thirty-six industrial control settings, and ten infinite-dimensional partial differential equation (PDE)-based control problems. Integrated wi…
Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization
Ankush Chakrabarty, Mouhacine Benosman
Data generated from dynamical systems with unknown dynamics enable the learning of state observers that are: robust to modeling error, computationally tractable to design, and capa…
Robust Reduced-Order Model Stabilization for Partial Differential Equations Based on Lyapunov Theory and Extremum Seeking with Application to the 3D Boussinesq Equations
Mouhacine Benosman, Jeff Borggaard, Boris Kramer
We present some results on stabilization for reduced-order models (ROMs) of partial differential equations. The stabilization is achieved using Lyapunov theory to design a new clos…
Extremum Seeking-based Iterative Learning Model Predictive Control (ESILC-MPC)
Anantharaman Subbaraman, Mouhacine Benosman
In this paper, we study a tracking control problem for linear time-invariant systems, with model parametric uncertainties, under input and states constraints. We apply the idea of…