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matlab command dlqr  (MathWorks Inc)


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    MathWorks Inc matlab command dlqr
    The CPU time for running <t>dlqr</t> <t>Matlab</t> command for the original and transformed OCPs for the HVAC example. Here we plot the CPU time corresponding to the transformed OCP, which is obtained by running the decomposed OCPs in parallel on 16 workers.
    Matlab Command Dlqr, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/dlqr+of+matlab/pmc09956949-215-6-6
    Average 90 stars, based on 1 article reviews
    matlab command dlqr - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Exact Decomposition of Optimal Control Problems via Simultaneous Block Diagonalization of Matrices"

    Article Title: Exact Decomposition of Optimal Control Problems via Simultaneous Block Diagonalization of Matrices

    Journal: IEEE open journal of control systems

    doi: 10.1109/ojcsys.2022.3231553

    The CPU time for running dlqr Matlab command for the original and transformed OCPs for the HVAC example. Here we plot the CPU time corresponding to the transformed OCP, which is obtained by running the decomposed OCPs in parallel on 16 workers.
    Figure Legend Snippet: The CPU time for running dlqr Matlab command for the original and transformed OCPs for the HVAC example. Here we plot the CPU time corresponding to the transformed OCP, which is obtained by running the decomposed OCPs in parallel on 16 workers.

    Techniques Used: Transformation Assay

    HVAC example. Memory used for storing data when running the dlqr Matlab command for the original and the transformed OCPs. Here we plot the memory in kilobytes corresponding to the transformed OCP, obtained by running the decomposed OCPs in parallel on 16 workers.
    Figure Legend Snippet: HVAC example. Memory used for storing data when running the dlqr Matlab command for the original and the transformed OCPs. Here we plot the memory in kilobytes corresponding to the transformed OCP, obtained by running the decomposed OCPs in parallel on 16 workers.

    Techniques Used: Transformation Assay

    Related Articles

    other:

    Article Title: Fixed-point based hierarchical MPC control design for a cryogenic refrigerator
    Article Snippet: More precisely, on can seek a filtering rule of the form: v( +1) = (I − 1)v( ) + 1v̂( +1) (59) which leads to a convergent fixed-point iteration provided that the following condition holds [by virtue of (52)]: ( I − 1 + 1M̄(v) ) < 1 (60) which can always be satisfied for a convenient 1 provided that: The pair ( I, [I − M̄(v)]T ) is controllable (61) Indeed, if this is the case, the spectrum radius (60) can be assigned using standard design tool such as the subroutine dlqr of Matlab.



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    MathWorks Inc matlab command dlqr
    The CPU time for running <t>dlqr</t> <t>Matlab</t> command for the original and transformed OCPs for the HVAC example. Here we plot the CPU time corresponding to the transformed OCP, which is obtained by running the decomposed OCPs in parallel on 16 workers.
    Matlab Command Dlqr, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    The CPU time for running <t>dlqr</t> <t>Matlab</t> command for the original and transformed OCPs for the HVAC example. Here we plot the CPU time corresponding to the transformed OCP, which is obtained by running the decomposed OCPs in parallel on 16 workers.
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    The CPU time for running <t>dlqr</t> <t>Matlab</t> command for the original and transformed OCPs for the HVAC example. Here we plot the CPU time corresponding to the transformed OCP, which is obtained by running the decomposed OCPs in parallel on 16 workers.
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    The CPU time for running <t>dlqr</t> <t>Matlab</t> command for the original and transformed OCPs for the HVAC example. Here we plot the CPU time corresponding to the transformed OCP, which is obtained by running the decomposed OCPs in parallel on 16 workers.
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    The CPU time for running dlqr Matlab command for the original and transformed OCPs for the HVAC example. Here we plot the CPU time corresponding to the transformed OCP, which is obtained by running the decomposed OCPs in parallel on 16 workers.

    Journal: IEEE open journal of control systems

    Article Title: Exact Decomposition of Optimal Control Problems via Simultaneous Block Diagonalization of Matrices

    doi: 10.1109/ojcsys.2022.3231553

    Figure Lengend Snippet: The CPU time for running dlqr Matlab command for the original and transformed OCPs for the HVAC example. Here we plot the CPU time corresponding to the transformed OCP, which is obtained by running the decomposed OCPs in parallel on 16 workers.

    Article Snippet: As a benchmark, we timed the Matlab command dlqr using the Matlab command timeit.

    Techniques: Transformation Assay

    HVAC example. Memory used for storing data when running the dlqr Matlab command for the original and the transformed OCPs. Here we plot the memory in kilobytes corresponding to the transformed OCP, obtained by running the decomposed OCPs in parallel on 16 workers.

    Journal: IEEE open journal of control systems

    Article Title: Exact Decomposition of Optimal Control Problems via Simultaneous Block Diagonalization of Matrices

    doi: 10.1109/ojcsys.2022.3231553

    Figure Lengend Snippet: HVAC example. Memory used for storing data when running the dlqr Matlab command for the original and the transformed OCPs. Here we plot the memory in kilobytes corresponding to the transformed OCP, obtained by running the decomposed OCPs in parallel on 16 workers.

    Article Snippet: As a benchmark, we timed the Matlab command dlqr using the Matlab command timeit.

    Techniques: Transformation Assay