Generalized Dissipativity and Nonlinear Negative Imaginary Systems
Nader Meskin, Mohamed A Mabrok, and Alexander Lanzon
2024 UKACC 14th International Conference on Control (CONTROL), pp. 137-142, IEEE, 2024
π
Robust adaptive fuzzy control for second-order Euler–Lagrange systems with uncertainties and disturbances via nonlinear negative-imaginary systems theory
Vu Phi Tran, Mohamed A Mabrok, Sreenatha G Anavatti, Matthew A Garratt, and Ian R Petersen
IEEE Transactions on Cybernetics, Vol. 54, No. 9, pp. 5102-5114, IEEE, 2024
π
Robust stabilization of LTI negative imaginary systems using the nearest negative imaginary controller
Mohamed Mabrok and Mahmoud Abdelrahim
IET Control Theory & Applications, Vol. 18, No. 4, pp. 399-407, 2024
2023
π€
Large-Scale Swarm Control in Cluttered Environments
Saber Elsayed and Mohamed Mabrok
International Conference on Social Robotics, pp. 384-395, Springer, 2023
π
Koopman operator approximation under negative imaginary constraints
Mohamed A Mabrok, Ilyasse Aksikas, and Nader Meskin
IEEE Control Systems Letters, Vol. 7, pp. 2767-2772, IEEE, 2023
π
Networked control design for an engine throttle valve system
Mahmoud Abdelrahim, Mohamed A Mabrok, and Mohamed Abdelmonim Hassan Darwish
International Journal of Control, Vol. 96, No. 7, pp. 1736-1743, Taylor & Francis, 2023
π€
Finding the nearest negative imaginary system with application to near-optimal controller design
Mohamed A Mabrok
2023 European Control Conference (ECC), pp. 1-6, IEEE, 2023
2022
π€
Robust adaptive learning control for different classes of dissipative vehicle systems
MA Mabrok, Vu Phi Tran, Ian R Petersen, and Matthew A Garratt
2022 IEEE Vehicle Power and Propulsion Conference (VPPC), pp. 1-6, IEEE, 2022
π
OCTUNE: optimal control tuning using real-time data with algorithm and experimental results
Mohamed Abdelkader, Mohamed Mabrok, and Anis Koubaa
Sensors, Vol. 22, No. 23, pp. 9240, MDPI, 2022
π
Modeling and simulations of water network distribution to assess water quality: Kuwait as a case study
Mohamed A Mabrok, Ahmad Saad, Taha Ahmed, and Hamad Alsayab
Evolution of the pair-coherent state with the two-qubit: entanglement and cat-state generation
A. Faisal, A. El-Orany, A.-S.F. Obada, M.A. Mabrok, and M.R.B. Wahiddin
Journal of Modern Optics, Vol. 55, No. 10, pp. 1649-1666, Taylor & Francis, 2008
Books and Chapters
Abdelkader, M., Fiaz, U. A., Toumi, N., Mabrok, M. A., & Shamma, J. S. (2021). Chapter 14 – riscuer: Areliable multi-uav search and rescue testbed (A. Koubaa & A. T. Azar, Eds.) doi:https://doi.org/10.1016/B978-0-12-820276-0.00021-2
Mabrok, M. A. (2021). Controller synthesis for negative imaginary systems using nonlinear optimisation and Hβ performance measure. International Journal of Control, 94(3), 579β587. https://doi.org/10.1080/00207179.2019.1601773
Mabrok, M. A., Alyami, M. A., & Mahmoud, E. E. (2021). On the dissipativity property of negative imaginary systems. Alexandria Engineering Journal, 60(1), 1403β1410. https://doi.org/10.1016/j.aej.2020.10.060
Saad, A. S., & Mabrok, M. A. (2021). Retrofitting of bridge superstructures using negative imaginary control theory. International Journal of Control, 1β16. https://doi.org/10.1080/00207179.2021.1889032
Tran, V. P., Mabrok, M. A., Anavatti, S. G., Garratt, M. A., & R.Petersen, I. (2021a). Hybrid negative imaginary-adaptive neural-fuzzy control with model identification for a quad-rotor. IFAC Journal of Systems and Control. https://doi.org/10.1016/j.ifacsc.2021.100156
Mabrok, M. A. (2020). Passivity analysis of replicator dynamics and its variations. IEEE Transactions onAutomatic Control. Retrieved from https://doi.org/10.1109/TAC.2020.3027644
GΓΌler, S., Algarni, M. A., Shaqura, M. Z., Jaleel, H., Mabrok, M. A., Jiang, J., . . . Shamma, J. S. (2019). Perception, navigation, and manipulation in the team kaust approach to the mbzirc ground robotics challenge. Journal of Field Robotics, 36(5), 973β1003. R https://doi.org/10.1002/rob.21865
Kuntz, K. B., Wheatley, T. A., Song, H., Webb, J. G., Mabrok, M. A., Huntington, E. H., & Yonezawa, H. (2017). Ultra-wide frequency response measurement of an optical system with a dc photo-detector. Optics express, 25(2), 573β586.
Mabrok, M. A., & Ryan, M. J. (2017). Category theory as a formal mathematical foundation for model-based systems engineering. Appl. Math. Inf. Sci, 11, 43β51.
Mabrok, M. A., & Petersen, I. R. (2016). Controller synthesis for negative imaginary systems: A data driven approach. IET Control Theory & Applications, 10(12), 1480β1486. Retrieved from https://doi.org/10.1049/iet-cta.2015.0800
Dong, D., Mabrok, M. A., Petersen, I. R., Qi, B., Chen, C., & Rabitz, H. (2015). Sampling-based learning control for quantum systems with uncertainties. IEEE Transactions on Control Systems Technology, 23(6), 2155β2166. Retrieved from https://doi.org/10.1109/TCST.2015.2404292
Mabrok, M. A., Efatmaneshnik, M., & Ryan, M. J. (2015). Integrating nonfunctional requirements into axiomatic design methodology. IEEE Systems Journal, 11(4), 2204β2214. Retrieved from https://doi.org/10.1109/JSYST.2015.2462073
Mabrok, M. A., Haggag, M. A., & Petersen, I. R. (2015). System identification algorithm for negative imaginary systems. Appl. Comput. Math, 14(3), 336β348.
Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2015). A generalized negative imaginary lemma and riccati-based static state-feedback negative imaginary synthesis. Systems & Control Letters, 77, 63β68. Retrieved from https://doi.org/10.1016/j.sysconle.2015.01.008
Mabrok, M. A., Dong, D., Petersen, I. R., & Chen, C. (2014). Entanglement generation in uncertain quantum systems using sampling-based learning control. IFAC Proceedings Volumes, 47(3), 5963β5968. Retrieved from https://doi.org/10.3182/20140824-6-ZA-1003.02079
Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2014a). Generalizing negative imaginary systems theory to include free body dynamics: Control of highly resonant structures with free body motion. IEE Transactions on Automatic Control, 59(10), 2692β2707. Retrieved from https://doi.org/10.1109/TAC.2014.2325692
Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2013). Spectral conditions for negativeimaginary systems with applications to nanopositioning. IEEE/ASME Transactions on Mechatronics, 19(3), 895β903. Retrieved from https://doi.org/10.1109/TMECH.2013.2263292
Mabrok, M. A., Lanzon, A., Kallapur, A. G., & Petersen, I. R. (2013). Enforcing negative imaginary dynamics on mathematical system models. International Journal of Control, 86(7), 1292β1303. Retrieved from https://doi.org/10.1080/00207179.2013.804951
Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2012b). Generalized negative imaginary lemma for descriptor systems. Journal of Mechanics Engineering and Automation, 2(1), 17β21.
Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2011d). Spectral conditions for the negative imaginary property of transfer function matrices. IFAC proceedings volumes, 44(1), 1302β1306. Retrieved from https://doi.org/10.3182/20110828-6-IT-1002.00714
El-Orany, F. A., Obada, A.-S., Mabrok, M. A., & Wahiddin, M. (2008). Evolution of the pair-coherent state with the two-qubit: Entanglement and cat-state generation. Journal of Modern Optics, 55(10), 1649β1666. Retrieved from https://doi.org/10.1080/09500340701762730
Conference Proceedings
1 Owyed, S., Abdel-Aty, A., Mabrok, M. A., & Zakaria, N. (2019). Mathematical modeling and simulationof 3-qubits quantum annealing processor. In Proceedings of the 2019 2nd international conference onmathematics and statistics (pp. 14β18).
2 Ghallab, A. G., Mabrok, M. A., & Petersen, I. R. (2018). Extending negative imaginary systems theory tononlinear systems. In 2018 IEEE conference on decision and control (cdc) (pp. 2348β2353). IEEE.
3 Kuntz, K. B., Wheatley, T. A., Webb, J. G., Song, H., Mabrok, M. A., & Huntington, E. H. (2018).Frequency response measurement of optical cavities using an intensity modulated laser beam anddirect power measurement.
4 Mabrok, M. A., & Petersen, I. R. (2018). Negative imaginary h_{2} controller synthesis using nonlinearoptimization. In 2018 IEEE conference on decision and control (cdc) (pp. 6526β6531). IEEE.
5 Ghallab, A. G., Mabrok, M. A., & Petersen, I. R. (2017). Lyapunov-based stability of feedbackinterconnections of negative imaginary systems. (Vol. 50, pp. 3424β3428). Elsevier.
6 Mabrok, M. A., & Shamma, J. S. (2016). Passivity analysis of higher order evolutionary dynamics andpopulation games. In 2016 IEEE 55th conference on decision and control (cdc) (pp. 6129β6134). IEEE.
7 Mabrok, M. A., Efatmaneshnik, M., & Ryan, M. (2015). Including non-functional requirements in theaxiomatic design process. In 2015 annual IEEE systems conference (syscon) proceedings (pp. 54β60). IEEE.
8 Mabrok, M. A., & Petersen, I. R. (2015). Data driven controller synthesis for negative imaginarysystems. In 2015 10th asian control conference (ascc) (pp. 1β5). IEEE.
9 Abdel-Aty, A.-H., Zakaria, N., & Mabrok, M. A. (2014). Dynamics of the entanglement over noisyquantum networks. In 2014 international conference on computer and information sciences (iccoins)(pp. 1β6). IEEE.
10 Mabrok, M. A., Dong, D., Chen, C., & Petersen, I. R. (2014). Robust entanglement control between twoatoms in a cavity using sampling-based learning control. In 53rd IEEE conference on decision and control(pp. 5802β5807). IEEE.
11 Mabrok, M. A., Haggag, M., Petersen, I. R., & Lanzon, A. (2014). A subspace system identificationalgorithm guaranteeing the negative imaginary property. In 53rd IEEE conference on decision and control(pp. 3180β3185). IEEE.
12 Mabrok, M. A., & Petersen, I. R. (2014). Negative imaginary feedback systems. In 2014 4th australiancontrol conference (aucc) (pp. 130β133). IEEE.
13 Kallapur, A. G., Mabrok, M. A., & Petersen, I. R. (2013). An integral resonant controller approach tofrequency locking an optical cavity. In 2013 IEEE international conference on control applications (cca)(pp. 407β411). IEEE.
14 Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2012a). A stability result on the feedbackinterconnection of negative imaginary systems with poles at the origin. In 2012 2nd australian controlconference (pp. 98β103). IEEE.
15 Mabrok, M. A., Kallapur, A. G., Petersen, I. R., SchΓΌtte, D., Boyson, T. K., & Lanzon, A. (2012). Locking athree-mirror optical cavity: A negative imaginary systems approach. In 2012 2nd australian controlconference (pp. 476β480). IEEE.
16 Mabrok, M. A., Kallapur, A. G., Petersen, I., & Lanzon, A. (2012). Stabilization of conditional uncertainnegative-imaginary systems using riccati equation approach. In Proceedings of the 20th internationalsymposium on mathematical theory of networks and systems (mtns) (pp. 9β13).
17 Kuffner, P. C., Conroy, K. J., Boyson, T. K., Milford, G., Mabrok, M. A., Kallapur, A. G., . Kirkbride, K. P. et al. (2011). Quantum cascade laser-based substance detection: Approaching thequantum noise limit. In Next-generation spectroscopic technologies iv (Vol. 8032, p. 80320C). InternationalSociety for Optics and Photonics.
18 Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2011a). A negative imaginary lemma fordescriptor systems. In 2011 australian control conference (pp. 543β546). IEEE.
19 Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2011b). A new stability result for thefeedback interconnection of negative imaginary systems with a pole at the origin. In 2011 50th IEEEconference on decision and control and european control conference (pp. 3753β3757). IEEE.
20 Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2011c). Enforcing a system model to benegative imaginary via perturbation of hamiltonian matrices. In 2011 50th IEEE conference on decisionand control and european control conference (pp. 3748β3752). IEEE.
21 Mabrok, M. A., Kallapur, A. G., Petersen, I. R., & Lanzon, A. (2011e). Stability analysis for a class ofnegative imaginary feedback systems including an integrator. In 2011 8th asian control conference (ascc)(pp. 1481β1486). IEEE.