Worst-case experiment design for constrained MISO systems


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Date

2014

Publication Type

Conference Paper

ETH Bibliography

yes

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Abstract

The problem of optimal worst-case experiment design for constrained linear systems with multiple inputs represented by a parametric model is addressed. A theoretical result is derived, which provides an insight on how to design experiments that minimize the worst-case identification error in ∞- and 1-norm when the input constraints are symmetric. The presented result is valid for a general model parametrization that admits the commonly used finite impulse response model as a special case. Based on this result a computationally tractable algorithm for the worst-case experiment design is proposed. Its advantages over a more standard experiment design approach are illustrated in a numerical example.

Publication status

published

Editor

Book title

2014 IEEE 53rd Annual Conference on Decision and Control (CDC 2014)

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Volume

Pages / Article No.

999 - 1004

Publisher

IEEE

Event

53rd IEEE Annual Conference on Decision and Control (CDC 2014)

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Organisational unit

03416 - Morari, Manfred (emeritus) check_circle

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