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>. It is also explained in the video<ref>{{:Video/Ch 10: What's the commutator and the uncertainty principle?}}</ref> by [[Brandon Sandoval]].


According to [[ChatGPT]]:
According to [[ChatGPT]]:

Revision as of 14:58, 27 January 2023

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]. It is also explained in the video[3] by Brandon Sandoval.

According to ChatGPT:

A system is said to be observable if its internal state can be determined from its inputs and outputs using a suitable control algorithm.

— ChatGPT

References

Related Pages

Part of:Logic Model