J
Jean Pierre Barbot
Researcher at École nationale supérieure de l'électronique et de ses applications
Publications - 38
Citations - 1665
Jean Pierre Barbot is an academic researcher from École nationale supérieure de l'électronique et de ses applications. The author has contributed to research in topics: Observability & State observer. The author has an hindex of 13, co-authored 38 publications receiving 1544 citations. Previous affiliations of Jean Pierre Barbot include Cergy-Pontoise University & École Normale Supérieure.
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Book
Sliding Mode Control in Engineering
TL;DR: An overview of classical sliding mode control differential inclusions and sliding modeControl high-order sliding modes sliding mode observers dynamic sliding mode Control and output feedback sliding modes, passivity, andflatness stability and stabilization discretization issues.
Journal ArticleDOI
Compressive Sensing With Chaotic Sequence
TL;DR: This letter proposes to construct the sensing matrix with chaotic sequence following a trivial method and proves that with overwhelming probability, the RIP of this kind of matrix is guaranteed.
Journal ArticleDOI
Observability of the discrete state for dynamical piecewise hybrid systems
TL;DR: The aim is to give sufficient conditions to observe the discrete and continuous states, in terms of algebraic and geometrical conditions, for piecewise-affine hybrid systems.
Proceedings ArticleDOI
Synchronous motor observability study and an improved zero-speed position estimation design
TL;DR: An Estimator/Observer Swapping system is designed here for the surface Permanent Magnet SynchronousMotor (PMSM) to overcome position observability problems at zero speed which is an unobservable state point.
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Model based Bayesian compressive sensing via Local Beta Process
TL;DR: A general statistical framework for model based CS, where both sparsity and structure priors are considered simultaneously, is proposed, and a hierarchical Bayesian model is proposed to describe the model based compressive sensing.