Mouhacine Benosman

Orcid: 0000-0002-0154-454X

According to our database1, Mouhacine Benosman authored at least 70 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
RoSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization with Knowledge-infused Reinforcement Learning.
CoRR, 2024

Policy Optimization for PDE Control with a Warm Start.
CoRR, 2024

Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization.
CoRR, 2024

Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023
Fixed-Time Stable Proximal Dynamical System for Solving MVIPs.
IEEE Trans. Autom. Control., August, 2023

Controlgym: Large-Scale Safety-Critical Control Environments for Benchmarking Reinforcement Learning Algorithms.
CoRR, 2023

Global Convergence of Receding-Horizon Policy Search in Learning Estimator Designs.
CoRR, 2023

Reinforcement learning-based estimation for partial differential equations.
CoRR, 2023

Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dual Parametric and State Estimation for Partial Differential Equations.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Robust Coordinated Hybrid Source Seeking With Obstacle Avoidance in Multivehicle Autonomous Systems.
IEEE Trans. Autom. Control., 2022

Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization.
CoRR, 2022

Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning.
CoRR, 2022

Domain knowledge-infused deep learning for automated analog/radio-frequency circuit parameter optimization.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

ODE Discretization Schemes as Optimization Algorithms.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

GaN Distributed RF Power Amplifer Automation Design with Deep Reinforcement Learning.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Time-varying continuous-time optimisation with pre-defined finite-time stability.
Int. J. Control, 2021

Robust nonlinear state estimation for a class of infinite-dimensional systems using reduced-order models.
Int. J. Control, 2021

Lyapunov Robust Constrained-MDPs: Soft-Constrained Robustly Stable Policy Optimization under Model Uncertainty.
CoRR, 2021

Safe learning-based observers for unknown nonlinear systems using Bayesian optimization.
Autom., 2021

Robust Adaptive Dynamic Mode Decomposition for Reduce Order Modelling of Partial Differential Equations.
Proceedings of the 2021 American Control Conference, 2021

2020
Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization under Model Uncertainty.
CoRR, 2020

Optimizing Deep Neural Networks via Discretization of Finite-Time Convergent Flows.
CoRR, 2020

Local Policy Optimization for Trajectory-Centric Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Finite-Time Convergence in Continuous-Time Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Dynamic Mode Decomposition and Robust Estimation: Case Study of a 2D Turbulent Boussinesq Flow.
Proceedings of the 2020 American Control Conference, 2020

Continuous-Time Optimization of Time-Varying Cost Functions via Finite-Time Stability with Pre-Defined Convergence Time.
Proceedings of the 2020 American Control Conference, 2020

2019
Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions.
CoRR, 2019

CODES: Cooperative Data-Enabled Extremum Seeking for Multi-Agent Systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Robust Data-Driven Neuro-Adaptive Observers With Lipschitz Activation Functions.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Robust Nonlinear State Estimation for Thermal-Fluid Models Using Reduced-Order Models: The Case of the Boussinesq Equations.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Learning-Based Robust Observer Design for Coupled Thermal and Fluid Systems.
Proceedings of the 2019 American Control Conference, 2019

2018
A Hybrid Adaptive Feedback Law for Robust Obstacle Avoidance and Coordination in Multiple Vehicle Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Sparse Sensing and DMD-Based Identification of Flow Regimes and Bifurcations in Complex Flows.
SIAM J. Appl. Dyn. Syst., 2017

A neuro-adaptive architecture for extremum seeking control using hybrid learning dynamics.
Proceedings of the 2017 American Control Conference, 2017

Robust POD model stabilization for the 3D Boussinesq equations based on Lyapunov theory and extremum seeking.
Proceedings of the 2017 American Control Conference, 2017

2016
Robust Reduced-Order Model Stabilization for Partial Differential Equations Based on Lyapunov Theory and Extremum Seeking with Application to the 3D Boussinesq Equations.
CoRR, 2016

Extremum seeking-based adaptive voltage control of distribution systems with high PV penetration.
Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016

Robust low rank dynamic mode decomposition for compressed domain crowd and traffic flow analysis.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Learning-based reduced order model stabilization for partial differential equations: Application to the coupled Burgers' equation.
Proceedings of the 2016 American Control Conference, 2016

Learning-based modular indirect adaptive control for a class of nonlinear systems.
Proceedings of the 2016 American Control Conference, 2016

2015
Extremum seeking-based adaptive control for electromagnetic actuators.
Int. J. Control, 2015

Extremum Seeking-based Iterative Learning Model Predictive Control (ESILC-MPC).
CoRR, 2015

Extremum Seeking-based Indirect Adaptive Control for Nonlinear Systems with State and Time-Dependent Uncertainties.
CoRR, 2015

Semi-Active Control of the Sway Dynamics for Elevator Ropes.
CoRR, 2015

Resolution-Directed Optimization-based Distributed Sensing.
Proceedings of the 2015 Proceedings of the Conference on Control and its Applications, 2015

Extremum Seeking-Based Indirect Adaptive Control for Nonlinear Systems with State-Dependent Uncertainties.
Proceedings of the 2015 Proceedings of the Conference on Control and its Applications, 2015

Consensus-based distributed optimal power flow algorithm.
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015

Extremum seeking-based indirect adaptive control for nonlinear systems with time-varying uncertainties.
Proceedings of the 14th European Control Conference, 2015

2014
Lyapunov-Based Control of the Sway Dynamics for Elevator Ropes.
IEEE Trans. Control. Syst. Technol., 2014

Multi-parametric extremum seeking-based auto-tuning for robust Input-Output linearization control.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Finite time protocols for multi-agent control of Distributed Generation and Responsive Loads.
Proceedings of the American Control Conference, 2014

Lyapunov-based control of the sway dynamics for elevator ropes.
Proceedings of the American Control Conference, 2014

Extremum seeking-based iterative learning linear MPC.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
Nonlinear Adaptive Control for Electromagnetic Actuators.
Proceedings of the SIAM Conference on Control and its Applications, 2013

Nonlinear learning-based adaptive control for electromagnetic actuators.
Proceedings of the 12th European Control Conference, 2013

Nonlinear backstepping learning-based adaptive control of electromagnetic actuators with proof of stability.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Multi-parametric extremum seeking-based learning control for electromagnetic actuators.
Proceedings of the American Control Conference, 2013

2010
Passive Actuators' Fault-Tolerant Control for Affine Nonlinear Systems.
IEEE Trans. Control. Syst. Technol., 2010

2009
Nonlinear Control Allocation for Non-Minimum Phase Systems.
IEEE Trans. Control. Syst. Technol., 2009

Online References Reshaping and Control Reallocation for Nonlinear Fault Tolerant Control.
IEEE Trans. Control. Syst. Technol., 2009

Adaptive nonlinear control allocation of non-minimum phase uncertain systems.
Proceedings of the American Control Conference, 2009

2007
Constrained Nonlinear Finite-Time Control Allocation.
Proceedings of the American Control Conference, 2007

Output trajectory tracking for the PVTOL aircraft through control allocation.
Proceedings of the IEEE International Conference on Control Applications, 2007

Output trajectory tracking for a switched nonlinear non-minimum phase system: The VSTOL aircraft.
Proceedings of the IEEE International Conference on Control Applications, 2007

2004
Control of flexible manipulators: A survey.
Robotica, 2004

2003
Stable inversion of SISO nonminimum phase linear systems through output planning: an experimental application to the one-link flexible manipulator.
IEEE Trans. Control. Syst. Technol., 2003

2002
Flexible Links Manipulators: from Modelling to Control.
J. Intell. Robotic Syst., 2002

Joint Trajectory Tracking for Planar Multi-Link Flexible Manipulator: Simulation and Experiment for a Two-Link Flexible Manipulator.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

2001
Model inversion for a particular class of nonlinear non-minimum phase systems: an application to the two-link flexible manipulator.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001


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