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Observability of Boolean Control Networks Using Parallel Extension and Set Reachability.

作者信息

Guo Yuqian

出版信息

IEEE Trans Neural Netw Learn Syst. 2018 Dec;29(12):6402-6408. doi: 10.1109/TNNLS.2018.2826075. Epub 2018 May 7.

Abstract

This brief reviews various definitions of observability for Boolean control networks (BCNs) and proposes a new one: output-feedback observability. This new definition applies to all BCNs whose initial states can be identified from the history of output measurements. A technique called parallel extension is then proposed to facilitate observability analysis. Furthermore, a technique called state transition graph reconstruction is proposed for analyzing the set reachability of BCNs, based on which new criteria for observability, single-input sequence observability, and arbitrary-input observability, are obtained. Using the proposed techniques, this brief proves that the problem of output-feedback observability can be recast as that of stabilizing a logic dynamical system with output feedback. Then, a necessary and sufficient condition for static output feedback observability is proposed. The relationships between the different definitions of observability are discussed, and the main results are illustrated with examples.

摘要

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