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Conference Papers Year : 2006

Complex continuous nonlinear systems: Their back box identification and their control

Abstract

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: 1) the classic ball and beam system, 2) a large scale linear system, where our setting may be regarded as a powerful alternative to model reduction.
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Dates and versions

inria-00000824 , version 1 (22-11-2005)

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  • HAL Id : inria-00000824 , version 1

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Michel Fliess, Cédric Join, Hebertt Sira-Ramirez. Complex continuous nonlinear systems: Their back box identification and their control. 14th IFAC Symposium on System Identification, SYSID 2006, Mar 2006, Newcastle, Australia. ⟨inria-00000824⟩
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