14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper WeB3.1

Fliess, Michel (Ec. Pol.), Join, CÚdric (UHP-Nancy), Sira-Ramirez, Hebertt (CINVESTAV-IPN)

Complex Continuous Nonlinear Systems: Their Black Box Identification and Their Control

Scheduled for presentation during the Invited Session "Continuous-Time System Identification II" (WeB3), Wednesday, March 29, 2006, 15:30−15:50, Hunter Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 17, 2018

Keywords Identification for Control, Continuous Time System Estimation, Nonlinear System Identification


Recent advances in estimation theory permit a new approach to nonlinear black box identification, where a phenomenological model is replacing a precise mathematical description. Convincing simulations are provided for two examples: - the classic ball and beam system, - a large scale linear system, where our setting may regarded as a powerful alternative to model reduction.