Linear Systems Theory

Hespanha, J. (2018). Linear Systems Theory. Princeton University Press.

Type

Book

Intellectual base

Review or monograph

Year

2018

DOI registrant

Princeton University Press

Link

https://doi.org/10.23943/9781400890088matched

Cited from

engineering_design, mathematics, neuroscience, statistics_experimental_design

Cited by

5 citations across 5 artifacts.

Primes

• Linearity
  • Listed in the references but not attached to a specific claim.
• Measurement Uncertainty and Observational Noise
  • Listed in the references but not attached to a specific claim.
• Observability
  • A triple \((X, Y, g)\) where \(X\) is the internal state space, \(Y\) is the output space, and \(g: X \to Y\) (possibly time-varying, stochastic, partial) is the observation map
• Predictive Coding
  • Listed in the references but not attached to a specific claim.

Domain-specific

• Hautus lemma
  • The Popov–Belevitch–Hautus tests state system properties through full-rank block matrices such as [λI−A,B] or their observability transpose forms.

Verification

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Does it back the claim? Not recorded. Neither this nor any other of the 5 citations of this work carries a recorded support check.

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Registry ID ref:5398672fe4cd · see in the full table