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Ibrahim Mathias Foo
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- affiliation: University of Warwick, School of Engineering, Coventry, UK
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2020 – today
- 2023
- [c12]Ikenna Enebuse
, Babul Salam Ksm Kader Ibrahim
Accuracy Assessment of Hand-Eye Calibration Techniques in Uncertain Environments for Vision Guided Robots. ICM 2023: 1-6 - 2022
- [j9]Mathias Foo
Data-driven dynamical modelling of a pathogen-infected plant gene regulatory network: A comparative analysis. Biosyst. 219: 104732 (2022) - 2021
- [j8]Ikenna Enebuse
A Comparative Review of Hand-Eye Calibration Techniques for Vision Guided Robots. IEEE Access 9: 113143-113155 (2021) - 2020
- [j7]Nuno M. G. Paulino
On the stability of nucleic acid feedback control systems. Autom. 119: 109103 (2020) - [j6]Mathias Foo
A simplified modelling framework facilitates more complex representations of plant circadian clocks. PLoS Comput. Biol. 16(3) (2020)
2010 – 2019
- 2019
- [j5]Nuno M. G. Paulino
PID and State Feedback Controllers Using DNA Strand Displacement Reactions. IEEE Control. Syst. Lett. 3(4): 805-810 (2019) - [j4]Mathias Foo
Modelling and Control of Gene Regulatory Networks for Perturbation Mitigation. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 583-595 (2019) - 2018
- [c11]Nuno M. G. Paulino
Uncertainty Modelling and Stability Robustness Analysis of Nucleic Acid-Based Feedback Control Systems. CDC 2018: 1077-1082 - [i2]Nuno M. G. Paulino, Mathias Foo, Jongmin Kim, Declan G. Bates:
On the stability of nucleic acid feedback controllers. CoRR abs/1812.01481 (2018) - 2017
- [j3]Mathias Foo
Design of an embedded inverse-feedforward biomolecular tracking controller for enzymatic reaction processes. Comput. Chem. Eng. 99: 145-157 (2017) - [c10]Mathias Foo
System identification of gene regulatory networks for perturbation mitigation via feedback control. ICNSC 2017: 216-221 - 2016
- [j2]Mathias Foo
Kernel Architecture of the Genetic Circuitry of the Arabidopsis Circadian System. PLoS Comput. Biol. 12(2) (2016) - [c9]Rucha Sawlekar, Mathias Foo
Robustness analysis of DNA-based biomolecular feedback controllers to parametric and time delay uncertainties. BioCAS 2016: 548-551 - [c8]Mathias Foo
Biologically inspired design of feedback control systems implemented using DNA strand displacement reactions. EMBC 2016: 1455-1458 - [c7]Mathias Foo
Biomolecular implementation of nonlinear system theoretic operators. ECC 2016: 1824-1831 - 2014
- [j1]Mathias Foo
System Identification and Control of the Broken River. IEEE Trans. Control. Syst. Technol. 22(2): 618-634 (2014) - [c6]Mathias Foo
Modeling and control design of plant circadian system for flowering time in Arabidopsis. CCA 2014: 1687-1692 - [i1]Seunghyeon Kim, Jaeyun Sung, Mathias Foo, Yong-Su Jin, Pan-Jun Kim:
Uncovering the nutritional landscape of food. CoRR abs/1408.3600 (2014) - 2013
- [c5]Mathias Foo
Nonlinearity tests of the Saint Venant equations. CDC 2013: 4925-4930 - [c4]Mathias Foo
Centralised and decentralised control of the Broken River. ECC 2013: 2561-2566 - 2011
- [c3]Mathias Foo, Erik Weyer:
On reproducing existing controllers as Model Predictive controllers. AuCC 2011: 303-308 - 2010
- [c2]Mathias Foo
Segmentation of a River using the Saint Venant Equations. CCA 2010: 848-853 - [c1]Mathias Foo
Modelling of River for Control Design. CCA 2010: 1862-1867
Coauthor Index
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