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

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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