Data Informativity for Analysis of Linear Systems With Convex Conic Constraints

نویسندگان

چکیده

This letter studies the informativity problem for reachability and null-controllability of constrained systems. To be precise, we will focus on an unknown linear systems with convex conic constraints from which measure data consisting exact state trajectories finite length. We are interested in performing system analysis such basis measured data. However, measurements it is only possible to obtain a unique explaining very restrictive cases. means that can not approach this using identification combined model based analysis. As such, formulate conditions under any consistent guaranteed reachable or null-controllable. These stated terms spectral subspace inclusions, therefore they easy verify.

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ژورنال

عنوان ژورنال: IEEE control systems letters

سال: 2022

ISSN: ['2475-1456']

DOI: https://doi.org/10.1109/lcsys.2021.3077367