Identification of Continuous-time Models from Sampled Data

- Direct Identification of Continuous-time Models from Sampled Data: Issues, Basic Solutions and Relevance

- Estimation of Continuous-time Stochastic System Parameters

- Robust Identification of Continuous-time Systems from Sampled Data

- Refined Instrumental Variable Identification of Continuous-time Hybrid Box-Jenkins Models

- Instrumental Variable Methods for Closed-loop Continuous Model Identification

- Model Order Identification for Continuous-time Models

- Estimation of the Parameters of Continuous-time Systems Using Data Compression

- Frequency-domain Approach to Continuous-time System Identification: Some Practical Aspects

- The CONTSID Toolbox: A Software Support for Data-based Continuous-time Modelling

- Subspace-based Continuous-time Identification

- Process Parameter and Delay Estimation from Non-uniformly Sampled Data

- Iterative Methods for Identification of Multiple Input Continuous-time Systems with Unknown Time Delays

- Closed-loop Parametric Identification for Continuous-time Linear Systems via New Algebraic Techniques

- Continuous-time Model Identification Using Spectrum Analysis with Passivity-preserving Model Reduction

Professor Hugues Garnier was appointed Associate Professor in 1995 at Université Henri Poincaré, Nancy 1. From Sept. 2003 to Aug. 2004, he visited the Centre for Complex Dynamic System and Control, University of Newcastle, Australia. Currently Hugues Garnier is a Professor at Université Henri Poincaré, Nancy 1 where he is the leader of the System Identification Project at the Centre de Recherche en Automatique de Nancy.