18 citations · 54 across the 15 of their papers we have counts for
21 papers
A note on the convergence of a class of adaptive optimal identifiers
Laurent Bako
This paper proposes a unifying framework for the convergence analysis of a class of adaptive optimal identifiers. The considered class of identifiers is constructed from the sequen…
An interval-valued recursive estimation framework for linearly parameterized systems
Laurent Bako, Seydi Ndiaye, Eric Blanco
This paper proposes a recursive interval-valued estimation framework for identifying the parameters of linearly parameterized systems which may be slowly time-varying. It is assume…
Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach
Steeven Janny, Quentin Possamai, Laurent Bako +2
The identification of a nonlinear dynamic model is an open topic in control theory, especially from sparse input-output measurements. A fundamental challenge of this problem is tha…
Learning to estimate UAV created turbulence from scene structure observed by onboard cameras
Quentin Possamaï, Steeven Janny, Madiha Nadri +2
Controlling UAV flights precisely requires a realistic dynamic model and accurate state estimates from onboard sensors like UAV, GPS and visual observations. Obtaining a precise dy…
MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements
Quentin Possamaï, Steeven Janny, Guillaume Bono +3
The emergence of data-driven approaches for control and planning in robotics have highlighted the need for developing experimental robotic platforms for data collection. However, t…
Analysis of the least sum-of-minimums estimator for switched systems
Laurent Bako
This paper considers a particular parameter estimator for switched systems and analyzes its properties. The estimator in question is defined as the map from the data set to the sol…
Minimality and identifiability of discrete-time SARX systems
M. Petreczky, L. Bako, S. Lecoeuche +1
The paper studies the problem of minimality and identifiability for Switched Auto-Regressive eXogenous (abbreviated by SARX) systems. We propose formal definitions of the concepts…
Interval-valued estimation for discrete-time linear systems: application to switched systems
Laurent Bako, Vincent Andrieu
This paper proposes a new framework for constructing interval-valued state estimators for discrete-time linear and switched linear systems. Our main results are (i) the derivation…
Resilient State Estimation for Discrete-Time Linear Systems
Alexandre Kircher, Laurent Bako, Eric Blanco +1
This paper proposes a resilient state estimator for LTI discrete-time systems. The dynamic equation of the system is assumed to be affected by a bounded process noise. As to the av…
An optimization framework for resilient batch estimation in Cyber-Physical Systems
Alexandre Kircher, Laurent Bako, Eric Blanco +1
This paper proposes a class of resilient state estimators for LTV discrete-time systems. The dynamic equation of the system is assumed to be affected by a bounded process noise. As…
On the tightest interval-valued state estimator for linear systems
Laurent Bako, Vincent Andrieu
This paper discusses an interval-valued state estimator for linear dynamic systems. In particular, we derive an expression of the tightest possible interval-valued estimator in the…
On a class of optimization-based robust estimators
Laurent Bako
We consider in this paper the problem of estimating a parameter matrix from observations which are affected by two types of noise components: (i) a sparse noise sequence which, whe…
Optimal control of discrete-time switched linear systems via continuous parameterization
Jérémie Kreiss, Laurent Bako, Eric Blanco
The paper presents a novel method for designing an optimal controller for discrete-time switched linear systems. The problem is formulated as one of computing the discrete mode seq…
Robustness analysis of a Maximum Correntropy framework for linear regression
Laurent Bako
In this paper we formulate a solution of the robust linear regression problem in a general framework of correntropy maximization. Our formulation yields a unified class of estimato…
Incremental stability of Lur'e systems through piecewise-affine approximations
Sérgio Waitman, Laurent Bako, Paolo Massioni +2
Lur'e-type nonlinear systems are virtually ubiquitous in applied control theory, which explains the great interest they have attracted throughout the years. The purpose of this pap…
Incremental analysis of nonlinear systems with efficient methods for piecewise-affine systems
Sérgio Waitman, Paolo Massioni, Laurent Bako +2
This paper is concerned with incremental stability properties of nonlinear systems. We propose conditions to compute an upper bound on the incremental L2-gain and to assess increme…
State and parameter estimation: a nonlinear Luenberger observer approach
Chouaib Afri, Vincent Andrieu, Laurent Bako +1
The design of a nonlinear Luenberger observer for a parametrized linear SISO (single-input single-output) system is studied. From an observability assumption of the system, the exi…
Analysis of A Nonsmooth Optimization Approach to Robust Estimation
Laurent Bako, Henrik Ohlsson
In this paper, we consider the problem of identifying a linear map from measurements which are subject to intermittent and arbitarily large errors. This is a fundamental problem in…
A numerical solution to the minimum-time control problem for linear discrete-time systems
Laurent Bako, Dulin Chen, Stéphane Lecoeuche
The minimum-time control problem consists in finding a control policy that will drive a given dynamic system from a given initial state to a given target state (or a set of states)…
On the notion of persistence of excitation for linear switched systems
Mihaly Petreczky, Laurent Bako
The paper formulates the concept of persistence of excitation for discrete-time linear switched systems, and provides sufficient conditions for an input signal to be persistently e…
Realization theory of discrete-time linear switched systems
Mihaly Petreczy, Laurent Bako, Jan H. van Schuppen
The paper presents realization theory of discrete-time linear switched systems. A discrete-time linear switched system is a hybrid system, such that the continuous sub-system assoc…