Mohammad Fahim Shakib

According to our database, Mohammad Fahim Shakib authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Accuracy bounds for the simulation of a class of continuous-time nonlinear models.

Mohammad Fahim Shakib, Johan Schoukens, Alexander Yu. Pogromsky, Alexey Pavlov, Nathan van de Wouw

Autom., 2026

2025

State dimension reduction of recurrent equilibrium networks with contraction and robustness preservation.

Mohammad Fahim Shakib

CoRR, August, 2025

Data-Driven Model Reduction by Moment Matching for Linear and Nonlinear Parametric Systems.

Hanqing Zhang, Junyu Mao, Mohammad Fahim Shakib, Giordano Scarciotti

CoRR, June, 2025

Structure-preserving model reduction of interconnected dynamical systems.

Nathan van de Wouw, Bart Besselink, Mohammad Fahim Shakib, Lars Janssen, Luuk Poort, Giordano Scarciotti, Rob H. B. Fey

Annu. Rev. Control., 2025

Physics-based and data-driven modeling for linear systems using moment matching.

Mohammad Fahim Shakib, Giordano Scarciotti, Alessandro Astolfi

Proceedings of the 2025 European Control Conference, 2025

Efficient computation of almost invisible inputs for linear input redundant systems.

Jérémie Kreiss, Mohammad Fahim Shakib, Marc Jungers

Proceedings of the 2025 European Control Conference, 2025

A novel approach for finite-frequency ℋ∞ model reduction.

G. Huang, Mohammad Fahim Shakib, Imad M. Jaimoukha

Proceedings of the 2025 European Control Conference, 2025

2024

Optimal Model Reduction by Time-Domain Moment Matching for Lur'e-Type Models.

Mohammad Fahim Shakib, Giordano Scarciotti, Marc Jungers, Alexander Yu. Pogromsky, Alexey Pavlov, Nathan van de Wouw

IEEE Trans. Autom. Control., December, 2024

Discrete-Time Convergent Nonlinear Systems.

Marc Jungers, Mohammad Fahim Shakib, Nathan van de Wouw

IEEE Trans. Autom. Control., October, 2024

Finite-frequency dynamic output-feedback synthesis for Lur'e-type control systems.

Mohammad Fahim Shakib, G. Huang

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

A Parameterised Family of NeuralODEs Optimally Fitting Steady-State Data.

Mohammad Fahim Shakib, Giordano Scarciotti, Alessandro Astolfi

Proceedings of the American Control Conference, 2024

2023

Model reduction by moment matching with preservation of global stability for a class of nonlinear models.

Mohammad Fahim Shakib, Giordano Scarciotti, Alexander Yu. Pogromsky, Alexey Pavlov, Nathan van de Wouw

Autom., November, 2023

Time-domain moment matching for multiple-input multiple-output linear time-invariant models.

Mohammad Fahim Shakib, Giordano Scarciotti, Alexander Yu. Pogromsky, Alexey Pavlov, Nathan van de Wouw

Autom., June, 2023

Kernel-Based Learning of Stable Nonlinear State-Space Models.

Mohammad Fahim Shakib, Roland Tóth, Alexander Yu. Pogromsky, A. Pavlov, Nathan van de Wouw

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Computationally efficient identification of continuous-time Lur'e-type systems with stability guarantees.

Mohammad Fahim Shakib, Alexander Yu. Pogromsky, Alexey Pavlov, Nathan van de Wouw

Autom., 2022

2021

Optimal H∞ LMI-Based Model Reduction by Moment Matching for Linear Time-Invariant Models.

Mohammad Fahim Shakib, Giordano Scarciotti, Marc Jungers, Alexander Yu. Pogromsky, Alexey Pavlov, Nathan van de Wouw

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Model Reduction by Moment Matching for Convergent Lur'e-Type Models.

Mohammad Fahim Shakib, Giordano Scarciotti, Alexander Yu. Pogromsky, Alexey Pavlov, Nathan van de Wouw

Proceedings of the 2021 American Control Conference, 2021

2019

Delay complementarity modeling for dynamic analysis of directional drilling.

Mohammad Fahim Shakib, Emmanuel Detournay, Nathan van de Wouw

Proceedings of the 2019 American Control Conference, 2019