Laurent Bako

Orcid: 0000-0001-7631-7547

According to our database1, Laurent Bako authored at least 60 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Minimal L2-Consistent Data-Transmission.
CoRR, 2024

Proximal observers for secure state estimation.
CoRR, 2024

Resonance Frequency Tracking for MEMS Gyroscopes Using Recursive Identification.
Proceedings of the European Control Conference, 2024

2023
A note on the convergence of a class of adaptive optimal identifiers.
Autom., November, 2023

2022
An Optimization Framework for Resilient Batch Estimation in Cyber-Physical Systems.
IEEE Trans. Autom. Control., 2022

An interval-valued recursive estimation framework for linearly parameterized systems.
Syst. Control. Lett., 2022

Learning to estimate UAV created turbulence from scene structure observed by onboard cameras.
CoRR, 2022

MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements.
CoRR, 2022

Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Analysis of the Least Sum-of-Minimums Estimator for Switched Systems.
IEEE Trans. Autom. Control., 2021

Least costly identification experiment for the identification of one module in a dynamic network.
Autom., 2021

Robust optimal identification experiment design for multisine excitation.
Autom., 2021

2020
Closed-loop identification of MIMO systems in the Prediction Error framework: Data informativity analysis.
Autom., 2020

Data informativity for the open-loop identification of MIMO systems in the prediction error framework.
Autom., 2020

Analysis of resilience for a State Estimator for Linear Systems.
Proceedings of the 2020 American Control Conference, 2020

2019
Interval-valued estimation for discrete-time linear systems: application to switched systems.
CoRR, 2019

Resilient State Estimation for Discrete-Time Linear Systems.
CoRR, 2019

Incremental L2-gain stability of piecewise-affine systems with piecewise-polynomial storage functions.
Autom., 2019

Interval-valued state estimation for linear systems: The tightest estimator and its relaxations.
Autom., 2019

Optimal Experiment Design for the Identification of One Module in the Interconnection of Locally Controlled Systems.
Proceedings of the 17th European Control Conference, 2019

Informativity: how to get just sufficiently rich for the Identification of MISO FIR Systems with Multisine Excitation?
Proceedings of the 17th European Control Conference, 2019

Data Informativity for the Identification of MISO FIR Systems with Filtered White Noise Excitation.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Piecewise Affine System identification: A least harmonic mean approach.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Robustness analysis of a maximum correntropy framework for linear regression.
Autom., 2018

On the Tightest Interval-Valued State Estimator for Linear Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
On a Class of Optimization-Based Robust Estimators.
IEEE Trans. Autom. Control., 2017

State and Parameter Estimation: A Nonlinear Luenberger Observer Approach.
IEEE Trans. Autom. Control., 2017

Optimal control of discrete-time switched linear systems via continuous parameterization.
CoRR, 2017

2016
Incremental analysis of nonlinear systems with efficient methods for piecewise-affine systems.
CoRR, 2016

Incremental stability of Lur'e systems through piecewise-affine approximations.
CoRR, 2016

Analysis of a nonsmooth optimization approach to robust estimation.
Autom., 2016

Adaptive identification of linear systems subject to gross errors.
Autom., 2016

Incremental ℒ2-gain analysis of piecewise-affine systems using piecewise quadratic storage functions.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Adaptive identification of continuous-time MIMO state-space models.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Identification of linear systems with nonlinear Luenberger Observers.
Proceedings of the American Control Conference, 2015

2014
Subspace Clustering Through Parametric Representation and Sparse Optimization.
IEEE Signal Process. Lett., 2014

Nonsmooth Optimization for Robust Estimation.
CoRR, 2014

2013
A sparse optimization approach to state observer design for switched linear systems.
Syst. Control. Lett., 2013

Realization theory of discrete-time linear switched systems.
Autom., 2013

Inland navigation channel model: Application to the Cuinchy-Fontinettes reach.
Proceedings of 10th IEEE International Conference on Networking, Sensing and Control, 2013

Learning nonlinear hybrid systems: from sparse optimization to support vector regression.
Proceedings of the 16th international conference on Hybrid systems: computation and control, 2013

Piecewise affine modeling of NOx emission produced by a diesel engine.
Proceedings of the 12th European Control Conference, 2013

Identification of MIMO switched state-space models.
Proceedings of the American Control Conference, 2013

2012
The minimum-time problem for discrete-time linear systems: A non-smooth optimization approach.
Proceedings of the IEEE International Conference on Control Applications, 2012

2011
A numerical solution to the minimum-time control problem for linear discrete-time systems
CoRR, 2011

Parameterization and identification of multivariable state-space systems: A canonical approach.
Autom., 2011

Identification of switched linear systems via sparse optimization.
Autom., 2011

On the notion of persistence of excitation for linear switched systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A new state observer for switched linear systems using a non-smooth optimization approach.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Temporal video segmentation using a switched affine models identification technique.
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

Identifiability of discrete-time linear switched systems.
Proceedings of the 13th ACM International Conference on Hybrid Systems: Computation and Control, 2010

An ℓ0-ℓ1 norm based optimization procedure for the identification of switched nonlinear systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
On-line structured subspace identification with application to switched linear systems.
Int. J. Control, 2009

Adaptive output feedback control based on neural networks: Application to flexible aircraft control.
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009

Incremental and Decremental Multi-category Classification by Support Vector Machines.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Switched affine models for describing nonlinear systems.
Proceedings of the 3rd IFAC Conference on Analysis and Design of Hybrid Systems, 2009

2008
Propagator-based methods for recursive subspace model identification.
Signal Process., 2008

Algebraic Identification of MIMO SARX Models.
Proceedings of the Hybrid Systems: Computation and Control, 11th International Workshop, 2008

A least squares approach to the subspace identification problem.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Gaussian and boolean weighted models to represent variable dynamics of open channel systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007


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