1972
DOI: 10.1109/tac.1972.1100021
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Comments on "The maximally achievable accuracy of linear optimal regulators and linear optimal filters"

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Cited by 11 publications
(2 citation statements)
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“…Remark 5.4. As is pointed out by Godbole [6], the condition of theorem 3.1 corresponds to the requirement that the model is invertible and that the inverse has no unstable modes (in the sense of linear systems). Indeed, note that H(λI − A) −1 D is the transfer function associated to our filtering model, so that invertibility holds in this setting if and only if the matrix H(λI − A) −1 D has a left inverse for all but a finite number of λ ∈ C (see, e.g., [14, theorem 5]).…”
Section: Linear Gaussian Modelsmentioning
confidence: 99%
“…Remark 5.4. As is pointed out by Godbole [6], the condition of theorem 3.1 corresponds to the requirement that the model is invertible and that the inverse has no unstable modes (in the sense of linear systems). Indeed, note that H(λI − A) −1 D is the transfer function associated to our filtering model, so that invertibility holds in this setting if and only if the matrix H(λI − A) −1 D has a left inverse for all but a finite number of λ ∈ C (see, e.g., [14, theorem 5]).…”
Section: Linear Gaussian Modelsmentioning
confidence: 99%
“…To prove sufficiency it is initially observed that conditions (36) imply that (A2, B2) is stabilizable from Lemma 1. Assume now that C2 # 0, where C2 is defined by (11). Then it follows from the definition of Ht that where T2, an orthogonal matrix, is given by (1 I), and Ai, B2 are given by (23).…”
Section: (34)mentioning
confidence: 99%