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}} | {{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}} | ||
It is also explained in the video<ref>{{:Video/Ch 10: What's the commutator and the uncertainty principle?}}</ref> by [[Brandon Sandoval]]. He explicitly showed the [[commutator]] formulation is extremely similar to the notion of [[ | It is also explained in the video<ref>{{:Video/Ch 10: What's the commutator and the uncertainty principle?}}</ref> by [[Brandon Sandoval]]. He explicitly showed the [[commutator]] formulation is extremely similar to the notion of [[De Morgan's laws]]. In the field of data provisioning, observability needs special instrumentation and methodology<ref>{{:Video/Observability Explained with LogDNA}}</ref>. | ||
According to [[ChatGPT]]: | According to [[ChatGPT]]: | ||
Revision as of 15:01, 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].
It is also explained in the video[2] by Brandon Sandoval. He explicitly showed the commutator formulation is extremely similar to the notion of De Morgan's laws. In the field of data provisioning, observability needs special instrumentation and methodology[3].
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
- ↑ 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.
- ↑ Sandoval, Brandon (Jan 24, 2023). Quantum Sense, ed. Ch 10: What's the commutator and the uncertainty principle?. local page: Quantum Sense.
- ↑ Vennam, Sai; Santamaria, Laura (Feb 19, 2020). Observability Explained with LogDNA. local page: IBM Technology.
Related Pages
Part of:Logic Model