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dlqr function  (MathWorks Inc)


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    MathWorks Inc dlqr function
    Dlqr Function, 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/pm40002728-105-5-4
    Average 90 stars, based on 1 article reviews
    dlqr function - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Active Vibration Control of Beams By Combining Precompressed Layer Damping and ACLD Treatment: Theory and Experimental Implementation
    Article Snippet: By attaching initially stressed poly vinyl chloride (PVC) layers on the flexible structures, necessary passive damping can be provided.. Using passive constrained layers on these PVC layers, the efficiency can be made even better than ordinary passive constrained layer damping (PCLD) treatment.. By using stressed PVC layers, a rich performance in case of circuit failure conditions is always available.

    Article Title: Design and implementation of linear-quadratic-Gaussian stability augmentation autopilot for unmanned air vehicle
    Article Snippet: A,B,C,H state space system matrices h altitude J cost function K optimal feedback gain in linear-quadratic regulator (LQR) k discrete system time step L optimal estimator gain in Kalman filter L,M,N components of applied aerodynamic moment vector in body axes Lc,Mc,Nc moment derivative with respect to variable C N total number of data Oxyz body axes p,q,r components of angular velocity vector in body axes Q,R LQR weighting function QkRk Kalman filter weighting function Q altered Q u input vector uiM maximum allowable deviation in component ui u,v,w components of translational velocity vector in body axes V aircraft total velocity v measurement noise vector w process noise vector x system state vector ABSTRACT

    Control:

    Article Title: Adaptive steering and roll damping control for yachts
    Article Snippet: Due to many special characteristics of the motion of a yacht in response to wind, sea and other conditions, the issues associated with designing an automatic controller for a yacht steering and rolling stabilisation are quite different from those for engine-powered vessels.. This paper presents some simulation results of the behaviour of a 12-m America’s Cup yacht, indicating the non-linear character of yacht motion.. With a view to developing an adaptive steering and roll damping controller for yachts, the behaviour of linear yacht models is examined and a case presented for online recursive modelling.

    Plasmid Preparation:

    Article Title: Adaptive steering and roll damping control for yachts
    Article Snippet: Due to many special characteristics of the motion of a yacht in response to wind, sea and other conditions, the issues associated with designing an automatic controller for a yacht steering and rolling stabilisation are quite different from those for engine-powered vessels.. This paper presents some simulation results of the behaviour of a 12-m America’s Cup yacht, indicating the non-linear character of yacht motion.. With a view to developing an adaptive steering and roll damping controller for yachts, the behaviour of linear yacht models is examined and a case presented for online recursive modelling.



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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