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Mohammad Fahim Shakib
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2020 – today
- 2024
- [j4]Marc Jungers, Mohammad Fahim Shakib, Nathan van de Wouw:
Discrete-Time Convergent Nonlinear Systems. IEEE Trans. Autom. Control. 69(10): 6731-6745 (2024) - [c5]Mohammad Fahim Shakib, Giordano Scarciotti, Alessandro Astolfi:
A Parameterised Family of NeuralODEs Optimally Fitting Steady-State Data. ACC 2024: 3359-3364 - 2023
- [j3]Mohammad Fahim Shakib, Giordano Scarciotti, Alexander Yu. Pogromsky, Alexey Pavlov, Nathan van de Wouw:
Time-domain moment matching for multiple-input multiple-output linear time-invariant models. Autom. 152: 110935 (2023) - [j2]Mohammad Fahim Shakib, Giordano Scarciotti, Alexander Yu. Pogromsky, Alexey Pavlov, Nathan van de Wouw:
Model reduction by moment matching with preservation of global stability for a class of nonlinear models. Autom. 157: 111227 (2023) - [c4]Mohammad Fahim Shakib, Roland Tóth, Alexander Yu. Pogromsky, A. Pavlov, Nathan van de Wouw:
Kernel-Based Learning of Stable Nonlinear State-Space Models. CDC 2023: 2897-2902 - 2022
- [j1]Mohammad Fahim Shakib, Alexander Yu. Pogromsky, Alexey Pavlov, Nathan van de Wouw:
Computationally efficient identification of continuous-time Lur'e-type systems with stability guarantees. Autom. 136: 110012 (2022) - 2021
- [c3]Mohammad Fahim Shakib, Giordano Scarciotti, Alexander Yu. Pogromsky, Alexey Pavlov, Nathan van de Wouw:
Model Reduction by Moment Matching for Convergent Lur'e-Type Models. ACC 2021: 4459-4464 - [c2]Mohammad Fahim Shakib, Giordano Scarciotti, Marc Jungers, Alexander Yu. Pogromsky, Alexey Pavlov, Nathan van de Wouw:
Optimal H∞ LMI-Based Model Reduction by Moment Matching for Linear Time-Invariant Models. CDC 2021: 6914-6919
2010 – 2019
- 2019
- [c1]Mohammad Fahim Shakib, Emmanuel Detournay, Nathan van de Wouw:
Delay complementarity modeling for dynamic analysis of directional drilling. ACC 2019: 5209-5214
Coauthor Index
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