2014 - Fellow of the International Federation of Automatic Control (IFAC)
Françoise Lamnabhi-Lagarrigue spends much of her time researching Control theory, Nonlinear system, Control theory, Applied mathematics and Simple. Françoise Lamnabhi-Lagarrigue has included themes like State and Exponential function in her Control theory study. Her Nonlinear system research incorporates themes from Observer, Tracking and Mathematical analysis, Differential equation.
Her work on Adaptive control as part of general Control theory research is often related to Power gain, thus linking different fields of science. Her Applied mathematics research is multidisciplinary, incorporating elements of State-space representation, Dynamical systems theory, Numerical partial differential equations and State space. The study incorporates disciplines such as Laplace transform, Zero, High gain observer, State observer and Work in addition to Simple.
Her main research concerns Control theory, Nonlinear system, Observer, Control theory and Adaptive control. She studied Control theory and Control engineering that intersect with Control. As part of the same scientific family, Françoise Lamnabhi-Lagarrigue usually focuses on Nonlinear system, concentrating on Applied mathematics and intersecting with Volterra series and Optimal control.
Her work on State observer as part of general Observer study is frequently connected to Observational error, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Her research on Control theory also deals with topics like
Her primary areas of investigation include Control theory, Nonlinear system, Observer, Lyapunov function and Stability. Françoise Lamnabhi-Lagarrigue does research in Control theory, focusing on Exponential stability specifically. Her Nonlinear system study integrates concerns from other disciplines, such as Control system, State vector, Heat equation and Affine transformation.
Many of her research projects under Observer are closely connected to Observational error with Observational error, tying the diverse disciplines of science together. Françoise Lamnabhi-Lagarrigue interconnects Nonlinear control, Converters and Robustness in the investigation of issues within Lyapunov function. Her research investigates the connection with Stability and areas like Dc voltage which intersect with concerns in MATLAB and Design process.
Her scientific interests lie mostly in Control theory, Nonlinear system, Observer, State observer and Lyapunov function. Her Control theory research is multidisciplinary, relying on both Ode, Applied mathematics and Stability. Her work carried out in the field of Nonlinear system brings together such families of science as Mathematical proof, State vector, Affine transformation, Heat equation and Robustness.
Her Observer research is multidisciplinary, incorporating perspectives in State and Type. The State observer study which covers Adaptive system that intersects with Estimation theory, Space and State. Her Lyapunov function study combines topics from a wide range of disciplines, such as Control system, Hamiltonian system, Invariant, Feed forward and Maximum principle.
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Handbook of hybrid systems control : theory, tools, applications
Jan Lunze;Françoise Lamnabhi-Lagarrigue.
(2009)
An algebraic approach to nonlinear functional expansions
M. Fliess;M. Lamnabhi;F. Lamnabhi-Lagarrigue.
IEEE Transactions on Circuits and Systems (1983)
Systems & Control for the future of humanity, research agenda: Current and future roles, impact and grand challenges
Françoise Lamnabhi-Lagarrigue;Anuradha Annaswamy;Sebastian Engell;Alf J. Isaksson.
Annual Reviews in Control (2017)
Cascade High Gain Predictors for a Class of Nonlinear Systems
T. Ahmed-Ali;E. Cherrier;F. Lamnabhi-Lagarrigue.
IEEE Transactions on Automatic Control (2012)
Sliding observer-controller design for uncertain triangular nonlinear systems
T. Ahmed-Ali;F. Lamnabhi-Lagarrigue.
IEEE Transactions on Automatic Control (1999)
Global exponential sampled-data observers for nonlinear systems with delayed measurements
Tarek Ahmed-Ali;Iasson Karafyllis;Françoise Lamnabhi-Lagarrigue.
Systems & Control Letters (2013)
Necessary conditions for asymptotic tracking in nonlinear systems
J.W. Grizzle;M.D. Di Benedetto;F. Lamnabhi-Lagarrigue.
IEEE Transactions on Automatic Control (1994)
Nonlinear control in the Year 2000
Alberto Isidori;F. Lamnabhi-Lagarrigue;W Respondek.
(2001)
A novel online training neural network-based algorithm for wind speed estimation and adaptive control of PMSG wind turbine system for maximum power extraction
Fernando Jaramillo-Lopez;Godpromesse Kenne;Francoise Lamnabhi-Lagarrigue.
Renewable Energy (2016)
Stability analysis of bilinear systems under aperiodic sampled-data control
Hassan Omran;Laurentiu Hetel;Jean-Pierre Richard;Françoise Lamnabhi-Lagarrigue.
Automatica (2014)
Annual Reviews in Control
(Impact Factor: 10.699)
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