Journal papers


[92] A. Moulichon, M. Alamir, V. Debusschere, L. Garbuio and N. Hadjsaid. Polymorphic Synchronous Generator: An Advances Controller Smart Inverter. Energies, to appear, 2023.

[91] Xuan-Huy Pham, M. Alamir and F. Bonne. On the Use of Gradient-Based Solver and Deep Learning Approach in Hierarchical Control: Application to Grand Refrigerators. Cybernetics and Systems, (Taylor & Francis) To appear 2023.

[90] H. Meghnoudj, B. Robu and M. Alamir. Sparse Dynamical Features generation, application to Parkinson’s Disease diagnosis. International Scientific Journal Engineering Applications of Artificial Intelligence, to appear 2023.

[89] K. Moussa, B. Aubouin-Parault, M. Alamir, T. Dang. Data-based extended moving-horizon estimation for MISO anesthesia dynamics. IEEE Control System Letters (L-CSS), Vol 7. pp 3054-3059, 2023.

[88] M. Alamir. Learning-Based sensitivity analyis and feedback design for drug delivery of mixed therapy of cancer in the presence of high model uncertainties.  Journal of Theoretical Biology. to Vol. 568, July 7, 2023

[87] F. Boyer, V. Lebastard, F. Candelier, F. Renda and M. Alamir. Statics and dynamics of continuum robot based on Cosserat rods and optimal control theories. IEEE Transactions on Robotics. Vol 39, Issue 2, pp 1544-1562, 2023.

[86] K. Moussa, M. FIacchini and M. Alamir. Probabilistically certified region of attraction of a tumor frowth model with combined chemo and immunotherapy. International Journal of Robust and Nonlinear Control. To appear in 2022.

[85] M. Alamir. Learning against uncertainty in control engineering. Annual Reviews in Control. Vol 53, pages 19-29, 2022.

[84] Xuan-Huy Pham, M. Alamir, F. Bonne and P. Bonnay. Revisiting a fixed-point hierarchical control design for cryogenic refrigerators under constraints, nonlinearities and real-time considerations. Europen Journal of Control. Vol. 36, pp 82-96, January 2022.

[83] M. Alamir. Partial Extended Observability Certification and Optimal Design of Moving Horizon Estimators. IEEE Transactions on Automatic Control, Volume 67, Issue 7, pages 3663-3669, July 2022.

[82] K. Moussa, M. FIacchini an d M. Alamir. Robust domain of attraction estimation for a tumor growth model. Journal of Applied Mathematics and Computation. Elsevier, Vol. 410, ISSN 0096-3003, ⟨10.1016/j.amc.2021.126482⟩, 2021.

[81] B. Guo, S. Bacha, M. Alamir and J. Pouget. A Phase-locked loop using ESO-based loop filter for grid-connected converter: performance analysis. Journal of Control Theory and Technology. Vol 19(1), Pages 49-63, 2021. 

[80] D. Collet, M. Alamir, D. Di Domenico, G. Sabiron. Data-driven fatigue-oriented MPC applied to wind turbines Individual Pitch Control. Renewable Energy, Vol. 170, page 1008-1019, 2021.

[79] M. Fiacchini and M. Alamir. Ockham's razor applied to COVID-19 model fitting French data. Annual Reviews in Control,Vol 51, pages 500-510, 2021. 

[78] M. Alamir and G. Pannocchia. A new formulation of Economic Model Predictive Control  without terminal constraint. Automatica, Vol. 125, 2021 (

[77] B. Guo, A. Mohamed, S. Bacha, M. Alamir, C. Boudinet and J. Pouget. Reduced scale models of variable speed hydro-electric plants for power hardware-in-the-loop real-time simulations. Energies (to appear), 2020. 

[76] A. Moulichon, M. Alamir, V. Debusschere, L. Garbuio, M. A. Rahmani, M. X. Wang and N. Hadjsaid. Observer-based current controller for virtual synchronous generator in presence of unknown and unpredictable loads. IEEE Transactions on Power Electronics, Volume 36, Issue 2, pp. 1708-1716, 2021.

[75] A. T. Mohamed, M. Alamir and Q. Alloin. Generic Modeling and Speed Control Approach of Hydraulic Power Plants: Start-up Operation Mode. Renewable Energy (Elsevier), Volume 160, pages 1-15, November,  2020. 

[74] B. Guo, S. Bacha, M. Alamir, A. Hably and C. Boudinet. Generalized Integrator-Extended State Observer with Applications to Grid-connected Converters in Presence of Disturbances. IEEE Transactions on Control Systems Technology. Vol 29. Issue 2. Pages 744-755, 2020.  

[73] M. Alamir. On the use of supervised clustering in stochastic NMPC design. IEEE Transactions on automatic control. Volume 65, Issue 12, pp. 5392-5398, December 2020. 

[72] K. M. M. Rathai, O. Sename and M. Alamir, GPU-based parametrized NMPC scheme for control of half car vehicle with semi-active suspension system. To appear in IEEE Control Systems Letters, Vol. 3, Number 3, pages 631-636, 2019.

[71] B. Guo, S. Bacha, M. Alamir, A. Mohamed and C. Boudinet. LADRC applied to variable speed hydro-electric plants: experimental validation. Control Engineering Practice. Vol 85, pp 290-298, 2019.

[70] R. Riah, M. Fiacchini and M. Alamir. Iterative method for estimating the robust domains of attraction of nonlinear systems: Application to cancer chemotherapy model with parametric uncertainties. European Journal of Control. Vol 47, pages 64-73, 2019.

[69] M. Alamir, M. Fiacchini, I Queinnec, S. Tarbouriech and M. Mazerolles. Feedback law with probabilistic certification for propofol-based control of {BIS} during anesthesia. International Journal of Robust and Nonlinear Control. Volume 28, Issue 18, pages 6254-6266, 2018.

[68] H. Ha, J. Welsh and M. Alamir. Useful redundancy in parameter and time delay estmation for continuou-time models. Automatica, Volume 95, September, pp. 455-462, 2018.

[67] S. Ben Chabane, M. Alamir, M. Fiacchini, R. Riah, T. Kovaltchouk and S. Bacha. Electricity grid connection of a tidal farm: an active power control framework constrained to grid-cose requirements. IEEE Transactions on Sustainable Energy. Vol. 9. Issue 4, pages 1948-1956, 2018.

[66] M. Alamir, P. Bonnay, F. Bonne and V. V. Trinh. Fixed-Point based hierarchical MPC control design for a cryogenic refrigerator. Journal of Process Control, Vol 58, pages 117-130, 2017.

[65] M. Alamir. Stability proof for nonlinear MPC design using monotonically increasing weighting profiles without terminal constraints.  Automatica, Vol 87, pp. 455-459, 2018. 

[64] P. Pflaum, M. Alamir and M. Y. Lamoudi. Battery Sizing for PV power plants under regulations using randomized algorithms. Renewable Energy (Elsevier), Vol 113, pages 596-607, 2017.

[63] A. Dogadov, M. Alamir, Ch. Serviere and F. Quaine. The Biomechanical model of the long finger extensor mechanism and its parametri identification. Journal of Biomechanics, Elsevier, Vol 58, Pages 232-236, 2017. 

[62] P. Pflaum, M. Alamir and M. Y. Lamoudi. Probabilistic energy management strategy for electric vehicle charging station using randomized algorithms. IEEE Transactions on Control Systems Technology, Vol. 26, Issue 3, 2018.

[61] F. Bonne, M. Alamir and P. Bonnay. Experimental investigation of control updating period monitoring in inustrial PLC-based fast MPC: Application to the constrained control of a cryogenic refrigerator. Journal of Control Theory and technology. Vol. 15, Number 2, pages 92-108, 2017.

[60] H. Mesnage, M. Alamir, N. Perrissin-Fabert, Q. Alloin. Nonlinear Model-Based Control for Minimum-Time Start of Hydraulic Turbines. European Journal of Control. Vol. 34, pp 24-30, 2017.

[59] J. Etay, A. Diarra, A. Gagnoud, Ch. Garnier, S. Massucci, M. Alamir, A. Sulpice and S. Rivoirad. Measuring therma conductivity and heat capacity of melting alloys by electromagnetic levitation in a DC fields. Magnetohydrodynamics, Vol. 53, Issue 2, pages 289-298, 2017.

[58] M. Alamir. A new contraction-based NMPC formulation without stability-related constraints. Automatica, Vol 75, pp. 288-292, 2017.

[57] M. Alamir. A State-Dependent Updating Period For Certified Real-Time Model Predictive Control. IEEE Transactions on Automatic Control, Vol. 62, Issue 5, pages 2464-2469. 2017.

[56] M. Alamir. On Probabilistic Certification of Combined Cancer Therapies Using Strongly Uncertain Models. Journal of Theoretical Biology, Elsevier, Vol. 384, pages 59-69. (2015).

[55] M. Alamir, M. A. Rahmani and D. Gualino. Generic Model Identification Framework For Thermodynamic Engines For Use in Hybrid Power Stations Control and Simulation. Journal of Process Control. Vol 24, pages 966-974, (2014).

[54] F. Bonne, M. Alamir and P. Bonnay. Nonlinear observers of the thermal loads applied to the helium bath of a cryogenic Joule-Thompson Cycle. Journal of Process Control (Elsevier), Vol 24, Issue 3, pages 73-80, (2014).

[53] M. Alamir, M. A. Rahmani and D. Gualino. Constrained Control Framework for A Stand-Alone Hybrid (Stirling Engine)/Supercapacitor Power Generation System. Applied Anergy (Elsevier). Vol 118, Issue 1, pages 192-206, (2014).

[52] N. Laouti, S. Othman, M. Alamir and N. Sheibat-Othman. Combination of a Model-Based Observer and Support Vector Machines for Fault Detection of Wind Turbines. International Journal of Automation and Computing (to appear 2014)

[51] A. Murilo, M. Alamir and P. Ortner. A General NMPC Framework for a Diesel Engine Air Path. International Journal of Control, Volume 87, No 10, pp 2194-2207, 2014.

[50] M. Alamir, E. Witrant, G. Della Valle, O. Rouaud, Ch. Josset and L. Boillereaux. Estimation of energy saving thanks to a reduced-model-based approach: example of bread baking by jet impingement. Energy (Elsevier), vol. 53, pp 74-82, (2013).

[49] T. Coulot, E. Lauga, J. M. Fournier, M. Alamir and F. Hasbani. Stability Analysis and Design Procedure of Multi-loop Linear LDO Regulators via State Matrix Decomposition. IEEE Transaction on Power Electronics. Vol 28, No 11, (2013).

[48] M. Alamir. Robust Feedback Design For Combined Therapy of Cancer. Optimal Control, Applications and Methods. Vol 35, Issue 1, pp. 77-88 (2014).

[47] M. Alamir, A New Identification Framework for off-line computation of Moving-Horizon-Observers. IEEE Transactions on Automatic Control. Vol 58, Issue 7, pp. 1877-1882, 2013.

[46] M. Alamir, D. Alberer and L. Del Re. Identification of a Class of Nonlinear Dynamic Relationships: Application to the Identification of Emission Models in Diesel Engines. International Journal of Engine Research. Vol 15, pages 898-905 (2014).

[45] O. Omar and M. Alamir. On the use of partial explicit inversion maps in moving-horizon observers: Application to the estimation problem in E-coli cultures. Journal Européen des Systèmes automatisés, Vol 46, n°2-3/ 2012.

[44] M. Alamir. A Framework For Real-Time Implementation of Low Dimensional Parameterized NMPC. Automatica. Vol 48. pp. 198-204 (2011).

[43] F. Clavel, M. Alamir, P. Bonnay, A. Barraud, G. Bornard and C. Deschildre. Multivariable Control Architecture For a Cryogenic Test Facility Under High Pulsed Loads: Model Derivation, Control Design and Experimental Validation. Journal of Process Control. Vol 21. Issue 7, pp. 1030-1039 (2011)

[42] N. Sheibat-Othman, S. Othman, O. Boyron and M. Alamir. Multivariable control of polymer molecular weight in emulsion polymerization processes. Journal of Process Control. Vol. 21, pp. 861-873, (2011)

[41] A. Murilo, M. Alamir and D. Alberer. Real-Time Implementation of An NMPC Output Feedback Scheme For Diesel Engines. Journal of Oil and Gas Science and Technology, Vol 66, No 4, pp. 613-627, (2011).

[40] Boillereaux L., M. Alamir, S. Curet, O. Rouaud and P. Bellemain. Estimation of the temperature field during microwace tempering with unknown dielectric properties using CLPP: a generic user-friendly software sensor. Innovative Food Science & Emerging Technologies (Elsevier), Vol. 12, Issue 3, pp. 288-297 (2011)

[39] Alamir M. A Fixed Point Method for the implementation of constrained NMPC to PDE's: Application to the constrained stabilization of the Kuramoto-Sivashinsky nonlinear PDE's. Journal Européen des Systèmes Automatisés (In French), Vol 45/7-10 - 2011 - pp.693-713 (2011)

[38] Alamir M., J. S. Welsh and G. C. Goodwin. Synaptic Plasticity-Based Model for Epileptic Seizures. Automatica Special Issue on Systems Biology, Vol.47, pp. 1183-1192 (2011)

[37] Alamir M., N. Sheibat-Othman and S. Othman. Measurement Based Modeling and Control of Bimodal Particle Size Distribution in Batch Emulsion Polymerization. AiChE Journal, Volume 56, No 8, Pages 2122-2136 (2010)

[36] Chareyron S. and Alamir, M. Model-free feedback design for mixed cancer therapy. Biotechnology Progress (AiChE Journal), VOl 25, No 3, pp. 690-700, (2009).

[35] Alamir M., J. S. Welsh and G. C. Goodwin. Redundancy vs multiple starting points in nonlinear systems related inverse problems. Automatica, Vol. 45 pp. 1052-1057 (2009).

[34] Chareyron, S. and Alamir, M. Mixed imunotherapy and chemotherapy of tumors: Feedback design and model updating schemes. Journal of theoretical Biology, Vol 45, pp. 444-454 (2009).

[33] Alamir, M. and Murilo, A. Swing-up and stabilization of a Twin-Pendulum under state and control constraints by fast NMPC scheme. Automatica, Vol. 44, pp. 1319-1324, (2008).

[32] Alamir, M., Sheibat-Othman, N. and Othman, S. On the use of Nonlinear Receding Horizon Observers in Batch Terpolymerization Reactors. International Journal of Modeling Identification and Control, Vol 4, No 1 (2008).

[31] Alamir, M. and Chareyron, S. State Constrained Optimal Control Applied to Cell-Cycle-Specific cancer Chemotherapy. Optimal Control Applications and Methods, Vol 28, Issue 3 pp 175-190 (2007).

[30] Witrant, E. Canudas-de-wit, C. Georges, D. and Alamir, M. Remote stabilization via communication network with a distributed control law. IEEE Transactions on Automatic Control, Vol 52, Issue 4, pp. 1480-1485 (2007).

[29] Commault, C. and Alamir, M. On the reachability in arbitrary time of positive continuous time linear systems. Systems & Control Letters. Vol 56, Issue 4, pp 272-276 (2007).

[28] M. Alamir.; Sheibat-Othman, N. and Othman, S. Constrained Nonlinear Predictive Control for maximizing Production in Polymerization Processes. IEEE Transactions on Control Systems Technology, Vol 15, No 2, March (2007).

[27] M. Alamir, and Corriou, J. P. Nonlinear receding-Horizon State Estimation for dispersive adsorption columns with nonlinear isotherm. Journal of process control 13, No. 6, 517-523 (2003).

[26] Alamir, M. A b.enchmark for optimal control problem's solvers for hybrid nonlinear systems. Automatica, volume 42, Issue 9, pp 1593-1598 (2006)

[25] Boyer, F.; Alamir, M. Further results on the accessibility of a satellite with two reaction wheels. Journal of Guidance, Control, and Dynamics. Vol 30(2) (2007)

[24] Chemori, A.; Alamir, M. Multi-step limit cycle generation for Rabbit's walking based on a nonlinear low dimensional predictive control scheme. International Journal of Mechatronics, 16, No.5, 259-277 (2006).

[23] Attia, S. A.; Alamir, M.; Canudas-de-Wit, C. Voltage Collapse Avoidance in Power Systems: A Receding Horizon Approach. International Journal on intelligent automation and soft computing. Volume 12, Special issue on "intelligent automation in power systems" (2006)

[22] Alamir, M.; Ibrahim, F.; Corriou, J. P. A flexible nonlinear model predictive control scheme for quality / performance handling in nonlinear SMB chromatography. Journal of process control 16, No.4, 333-344 (2005).

[21] Corriou, J. P.; Alamir, M. A hybrid nonlinear state observer for concentration profiles reconstruction in nonlinear simulated moving bed. Journal of process control 16, No.4, 345-353 (2005).

[20] Chemori, A.; Alamir, M. Limit cycle generation for a class of non-linear systems with jumps using a low dimensional predictive control Int. J. Control 78, No.15, 1206-1217 (2005).

[19] Alamir, M.New path-generation based receding-horizon formulation for constrained stabilization of nonlinear systems.  Automatica 40, No.4, 647-652 (2004).

[18] Marchand, N.; Alamir, M. Discontinuous exponential stabilization of chained form systems. Automatica 39, No.2, 343-348 (2003).

[17] Alamir, M.; Boyer, F. Fast generation of attractive trajectories for an under-actuated satellite application to feedback control design. Optim. Eng. 4, No.3, 215-230 (2003).

[16] Alamir, M.; Marchand, N. Constrained minimum-time-oriented feedback control for the stabilization of nonholonomic systems in chained form.  J. Optimization Theory Appl. 118, No.2, 229-244 (2003).

[15] Alamir, M.; Calvillo-Corona, L. Further results on nonlinear receding-horizon observers. IEEE Trans. Autom. Control 47, No.7, 1188-1193 (2002).

[14] Marchand, N.; Alamir, M. Numerical stabilization of a rigid spacecraft with two actuators. Journal of Dynamic Systems, Measurement, and Control, 125, No.3, 489-491 (2002).

[13] Alamir, M.; Balloul, I.; Marchand, N. Robust stabilization of nonlinear systems by discontinuous dynamic state feedback. Int. J. Control 75, No.6, 421-433 (2002).

[12] Alamir, M. Sensitivity analysis in simultaneous state/parameter estimation for induction motors. Int. J. Control 75, No.10, 753-758 (2002).

[11] Alamir, M. Nonlinear Receding Horizon sub-optimal Guidance Law for minimum interception time problem. Control Engineering Practice 9, No.1, 107-116 (2001).

[10] Alamir, M. Solutions of nonlinear optimal and robust control problems via a mixed collocation/DAE's based algorithm. Automatica 37, No.7, 1109-1115 (2001).

[9] Alamir, M. Optimization based nonlinear observers revisited. Int. J. Control 72, No.13, 1204-1217 (1999).

[8] Alamir, M.; Balloul, I. Robust constrained control algorithm for general batch processes. Int. J. Control 72, No.14, 1271-1287 (1999).

[7] Alamir, M.; Marchand, N. Numerical stabilisation of non-linear systems: Exact theory and approximate numerical implementation.
Eur. J. Control 5, No.1, 87-97 (1999).

[6] Alamir, M.; Bornard, G. Globally stabilising discontinuous feedback law for a class of nonlinear systems. European. J. Control 2, No.1, 44-50 (1996).

[5] Alamir, M.; Bornard, G. Stability of a truncated infinite constrained receding horizon scheme: The general discrete nonlinear case. Automatica 31, No.9, 1353-1356 (1995).

[4] Alamir, M.; Bornard, G. On the stability of receding horizon control of nonlinear discrete-time systems. Syst. Control Lett. 23, No.4, 291-296 (1994).

[3] Etay, J.; Alamir, M.; Fautrelle, Y. Dynamics of electromagnetically driven spheres in liquid. Comparison between numerical simulations and experiments. Magnetohydrodynamics. 30, No.3, 389-400 (1994).

[2] Boyer, F.; Alamir, M.; Chablat, D.; Khalil, W.; Leroyer, A.; Lemoine, Ph. Robot Anguille sous marin en 3D. "Techniques de l'ingénieur", S7856, pp 1-16, (2006).

[1] Alamir, M.; Bornard, G. Sur la stabilité de la commande optimal à horizon glissant des systèmes discrets non linéaires. C. R. Académie des Sciences, série I, 318, 769-773 (1994).