Change point detection with application to the identification of a switching process

International audienceThis paper deals with the change point detection problem with application to filtering and on-line identification of simple hybrid systems. The proposed method allows to obtain fast estimators for the unknown switch times and parameters. Numerical simulations with noisy data are provided

Identifiability and algebraic identification of time delay systems

International audienceIdentifiability and algebraic identification of time delay systems are investigated in this paper. Identifiability results are first presented for linear delay systems described by convolution equations. On-line algorithms are next proposed for both parameters and delay estimation. Based on a distributional technique, these algorithms enable an algebraic and simultaneous estimation by solving a generalized eigenvalue problem. Simulation studies with noisy data and experimental results show the performance of the proposed approach

A distribution framework for the fast identification of linear systems with delays

International audienceThis paper deals with on line identification of delay systems. The work is based on the approach initiated in (Fliess M., 2003) and extended to delays identificatio

Real time identification of delay systems

This paper deals with real time and possibly closed loop identification of delay systems. It is based on non-asymptotic algebraic estimation techniques. Numerical simulations with noisy data are provided

Parameters estimation of systems with delayed and structured entries

International audienceThis paper deals with on-line identification of continuous-time systems with structured entries. Such entries, which may consist in inputs, perturbations or piecewise polynomial (time varying) parameters, can be defined as signals that can be easily annihilated. The proposed cancellation method allows to obtain non asymptotic estimators for the unknown coefficients. Application to delayed and switching hybrid systems are proposed. Numerical simulations with noisy data but also experimental results on a delay process are provided

On-line identification of systems with delayed inputs

This communication deals with on-line identification of systems with delayed inputs. It is based on new non-asymptotic algebraic estimation techniques. A concrete case-study and an application to transmission delays are discussed. Several successful numerical simulations are provided even with noisy data

A convolution approach for delay systems identification

International audienceThis paper deals with on-line identification of delay systems. Based on nonasymptotic techniques, the estimation approach reduces to solving polynomials or eigenvalue problems. Numerical simulations with noisy data but also with slowly time varying parameters and delay are provided

Derivative based control for LPV system with unknown parameters: An application on a Permanent Magnet Synchronous Motors

International audienceThis paper deals with the robust stabilization of a class of Linear Parameter Varying (LPV) systems in the continuous time case. Instead of using a state observer or searching for a dynamic output feedback, the controller is based on output derivative estimation. This allows the stabilization of the plant with very large parameter variation and uncertainties. The proof of stability is based on the polytopic representation of the closed loop, Lyapunov conditions and system transformations. The result is a control structure with only few parameters which are tuned via very simple conditions. This paper illustrates the usefulness on real application: Permanent Magnet Synchronous Motors (PMSM) position control

Delay system identification applied to the longitudinal flight of an aircraft through a vertical gust

International audienceThis paper deals with modelling and identification of aircraft dynamic entering a vertical gust. The identification approach initiated in (Fliess 2003) falls under a prospect for identification from tests carried out in the Flight Analysis Laboratory of the DCSD of ONERA in Lille. The plane is considered into various elements which consist in the fuselage, the wing and the tail. The model incorporates delays linked to the aircraft passage through the atmospheric turbulence