Last December, the International Federation of Automatic Control (IFAC) held the 13th edition of the International Conference on Fractional Differentiation and its Applications (ICFDA) in Algiers, Algeria.
The conference covered all major aspects of fractional-order calculus and a large variety of its application areas, with a strong industrial perspective.
On this occasion, Stéphane Victor, Associate Professor at the University of Bordeaux and the IMS Laboratory (Automatic Control research group), received three awards:
- Abel Award, for contributions made by active young scientists.
- Riemann Liouville Award (best researcher award) for best paper in the Application category: “Identification of a Second-Species Commensurate Fractional Order Transfer Function from a Step Response with Overshoot or Oscillations”.
Co-authors: Duarte Valerio Pedro Mata de Oliveira, Stéphane Victor and Rachid Malti.
Abstract: This paper shows how a second-species commensurate fractional order transfer function can be identified from a step response. Only step responses with overshoot or with oscillations (or both) are considered. All that the methods discussed require is knowing the time and amplitude of only two points of the step response. - Grünwald Leitnikov Award (best student award) shared with Aziz Bounouh, PhD student at the IMS Laboratory, for best student paper in the Theory category: “Convergence Analysis of the MISO-OOSRIVCF Algorithm for Fractional System Identification”.
Co-authors: Aziz Bounouh, Stéphane Victor and Rachid Malti.
Abstract: Continuous-time system identification with fractional model has increased in interest due to its relevance in modeling physical processes with memory and diffusion effects. This paper deals with continuous-time system identification of multiple-input single-output (MISO) fractional differentiation models. Recent studies, which have extended classic methods (e.g., OE and SRIVC) to the estimation of fractional-order models, the definition of structured-commensurability has been introduced to better cope with the estimation of fractional differentiation orders, and notably to improve the algorithm convergence. This paper investigates the convergence properties of the MISO-OOSRIVCF algorithm. After a brief method review and a SISO illustration, a detailed MISO case study is presented with convergence analysis and performance metrics. The impact of initial conditions, noise, and tuning parameters are assessed and practical strategies are then proposed for algorithm configuration for reliable system identification.
A testament to the IMS Laboratory’s leading role in the international Automatic Control scientific community.
