Principal Component Analysis in Linear Systems¶
Moore, B. C. (1981). Principal Component Analysis in Linear Systems: Controllability, Observability, and Model Reduction. IEEE Transactions on Automatic Control, 26(1), 17-32.
Cited by¶
5 citations across 5 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Controllability
- Variants include: structural controllability (generic controllability based on system-matrix sparsity pattern, independent of parameter values); small-time local controllability (controllability within a neighborhood, possibly within a short horizon); robust controllability (preserved under model uncertainty); constrained controllability (controllability when inputs are restricted to a subset — e.g., bounded thrust); controllability gramian (quantifies how controllable each state direction is, supporting model reduction and actuator placement)
This sourceIntroduces balanced realizations and the use of controllability/observability gramians to quantify how controllable each state direction is, supporting model reduction.
- Variants include: structural controllability (generic controllability based on system-matrix sparsity pattern, independent of parameter values); small-time local controllability (controllability within a neighborhood, possibly within a short horizon); robust controllability (preserved under model uncertainty); constrained controllability (controllability when inputs are restricted to a subset — e.g., bounded thrust); controllability gramian (quantifies how controllable each state direction is, supporting model reduction and actuator placement)
- 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
- Predictive Coding
- Listed in the references but not attached to a specific claim.
Verification¶
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