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Brigitte d'Andréa-Novel

Researcher at Mines ParisTech

Publications -  111
Citations -  5505

Brigitte d'Andréa-Novel is an academic researcher from Mines ParisTech. The author has contributed to research in topics: Lyapunov function & Nonlinear system. The author has an hindex of 30, co-authored 111 publications receiving 5040 citations. Previous affiliations of Brigitte d'Andréa-Novel include PSL Research University & École Normale Supérieure.

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Journal ArticleDOI

On Lyapunov Stability of Linearised Saint-venant Equations for a Sloping Channel

TL;DR: This work addresses the issue of the exponential stability (in L-2-norm) of the classical solutions of the linearised Saint-Venant equations for a sloping channel with a cascade of n pools with an explicit sufficient dissipative condition.
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Control of Wheeled Mobile Robots Not Satisfying Ideal Velocity Constraints - a Singular Perturbation Approach

TL;DR: In this article, a singular perturbation formulation for mechanical systems not exactly satisfying velocity constraints is proposed, and the robustness of static-state linearizing feedback laws which have been obtained to solve a point tracking problem is studied.
Proceedings ArticleDOI

Modelling and state feedback control of nonholonomic mechanical systems

TL;DR: The dynamics of nonholonomic mechanical systems are described by the classical Euler-Lagrange equations subjected to a set of nonintegrable constraints as discussed by the authors, and smooth state feedback control laws can be designed which guarantee the global marginal stability of the system with the convergence to zero of an output function whose dimension is the number of degrees of freedom.
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Coupled nonlinear vehicle control: Flatness-based setting with algebraic estimation techniques

TL;DR: In this article, a combined nonlinear longitudinal and lateral vehicle control is investigated, which combines the control of the lateral and longitudinal motions in order to track straight or curved trajectories and to perform a combined lane-keeping and steering control during critical driving situations such as obstacle avoidance, stop-and-go control, lane change maneuvers or any other maneuvers.
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An Efficient Model-Free Setting for Longitudinal and Lateral Vehicle Control: Validation Through the Interconnected Pro-SiVIC/RTMaps Prototyping Platform

TL;DR: In this article, the problem of tracking desired longitudinal and lateral motions for a vehicle is addressed by considering a model-free control approach leading to intelligent controllers, where the longitudinal and the lateral motions, and the driving/braking torques and the steering wheel angle are respectively the output and the input variables.