Abstract
The philosophical issues pertaining to the problem of going from experiment to controller design are discussed. The “unfalsified control” concept is introduced as a framework for determining control laws whose ability to meet given performance specifications is at least not invalidated (i.e., not falsified) by the available data. The approach is “model-free” in the sense that no plant model is required — only plant input-output data. When implemented in real time, the result is an adaptive robust controller which modifies itself whenever a new piece of data invalidates the present controller. A simple design example based on fixed-order LTI controllers and an L2-inequality performance criterion is presented.
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