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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/result/matlab command dlqr/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab command dlqr - by Bioz Stars, 2026-04
    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



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    matlab command dlqr  (MathWorks Inc)
    90
    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/result/matlab command dlqr/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab command dlqr - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    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