Difference between revisions of "Observability"
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{{WikiEntry|key=Observability|qCode=1369844}} is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. {{:Controllability and Observability}} In the field of data provisioning, observability needs special instrumentation and methodology<ref>{{:Video/Observability Explained with LogDNA}}</ref>. | {{WikiEntry|key=Observability|qCode=1369844}} is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. {{:Controllability and Observability}} In the field of data provisioning, observability needs special instrumentation and methodology<ref>{{:Video/Observability Explained with LogDNA}}</ref>. | ||
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<blockquote text=A system is said to be observable if its internal state can be determined from its inputs and outputs using a suitable control algorithm.> | |||
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Revision as of 07:21, 26 December 2022
Observability(Q1369844) is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. The observability and controllability of a system are mathematical duals. It is explained in the book chapter:Controllability and Observability of Boolean Control Networks of the book:Analysis and Control of Boolean Networks A Semi-tensor Product Approach[1].
In the field of data provisioning, observability needs special instrumentation and methodology[2].
According to ChatGPT:
References
- ↑ Cheng, Daizhan; Qi, Hongsheng; Li, Zhiqiang (2011). Analysis and Control of Boolean Networks:A Semi-tensor Product Approach. local page: Springer-Verlag. ISBN 978-0-85729-097-7.
- ↑ Vennam, Sai; Santamaria, Laura (Feb 19, 2020). Observability Explained with LogDNA. local page: IBM Technology.
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